International Journal of Computational Intelligence Systems

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1197 articles
Research Article

An Evaluation of the Dynamics of Diluted Neural Network

Lijuan Wang, Jun Shen, Qingguo Zhou, Zhihao Shang, Huaming Chen, Hong Zhao
Pages: 1191 - 1199
The Monte Carlo adaptation rule has been proposed to design asymmetric neural network. By adjusting the degree of the symmetry of the networks designed by this rule, the spurious memories or unwanted attractors of the networks can be suppressed completely. We have extended this rule to design full-connected...
Case Study

Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study

Ignacio Martín, Andrea Mariello, Roberto Battiti, José Alberto Hernández
Pages: 1192 - 1209
The explosion of the Internet has deeply affected the labour market. Identifying most rewarded and demanded items in job offers is key for recruiters and candidates. This work analyses 4, 000 job offers from a Spanish IT recruitment portal. We conclude that (1) experience is more rewarded than education,...
Research Article

Some Advantages of the RDM-arithmetic of Intervally-Precisiated Values

Andrzej Piegat, Marcin Plucinski
Pages: 1192 - 1209
Moore's interval arithmetic always provides the same results of arithmetic operations, e.g. [1, 3]+ [5, 9]= [6, 12]. But in real life problems, the operation result can be different, e.g. equal to [4, 7]. Therefore, real problems require more advanced arithmetic. The paper presents (on example of the...
Review Article

Overview of the SLAVE learning algorithm: A review of its evolution and prospects

David García, Antonio González, Raúl Pérez
Pages: 1194 - 1221
Inductive learning has been—and still is—one of the most important methods that can be applied in classification problems. Knowledge is usually represented using rules that establish relationships between the problem variables. SLAVE (Structural Learning Algorithm in a Vague Environment)...
Research Article

Hybrid Intelligent Algorithm for Determining Network Capacity with Transportation Time Reliability Constraints

Wangtu Xu, Yuan Li, Hui Wang, Peifeng Hu
Pages: 1195 - 1203
Motivated by a problem in the commodity transportation, a mathematical model is developed to calculate capacity of single-commodity network when the time reliability levels of transporting commodity between origin-destination pairs are constrained. We use a hybrid intelligent algorithm, in which genetic...
Research Article

Adaptive Fuzzy Mediation for Multimodal Control of Mobile Robots in Navigation-Based Tasks

Josip Musić, Stanko Kružić, Ivo Stančić, Vladan Papić
Pages: 1197 - 1211
The paper proposes and analyses performance of a fuzzy-based mediator with showcase examples in robot navigation. The mediator receives outputs from two controllers and uses estimated collision probability for adapting the signal proportions in the final output. The approach was implemented and tested...
Research Article

Optimizing Acquisition Geometry in Shallow Gas Cloud Using Particle Swarm Optimization Approach

Abdul Halim Abdul Latiff, Deva Prasad Ghosh, Nurul Mu’azzah Abdul Latiff
Pages: 1198 - 1210
Many hydrocarbon explorations in mature fields have been severely affected by complex and overburdening issues, such as shallow gas accumulation, gas pockets, and gas seepage. In this work, a new forward modelling technique is proposed in evaluating the potential survey design for fields affected by...
Research Article

Research on Dynamic Coupled Characteristics of A Tracked Vehicle Gearbox

Hui Liu, Changle Xiang, Shengping Fu
Pages: 1204 - 1215
A tracked vehicle gearbox is divided into two subsystems-housing and gear train. Dynamic behaviors of the two subsystems are coupled practically. And the coupled characteristics describe the integrative dynamic behaviors of gearbox. This study proposes a coupled simulation model to investigate the interrelationship...
Research Article

A Robust Predictive–Reactive Allocating Approach, Considering Random Design Change in Complex Product Design Processes

Jiafu Su, Meng Wei, Aijun Liu*
Pages: 1210 - 1228
In the highly dynamic complex product design process, task allocations recovered by reactive allocating decisions are usually subject to design changes. In this paper, a robust predictive–reactive allocating approach considering possible disruption times is proposed, so that it can absorb the disruption...
Research Article

Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?

Alberto Fernández, Abdulrahman Altalhi, Saleh Alshomrani, Francisco Herrera
Pages: 1211 - 1225
The significance of addressing Big Data applications is beyond all doubt. The current ability of extracting interesting knowledge from large volumes of information provides great advantages to both corporations and academia. Therefore, researchers and practitioners must deal with the problem of scalability...
Research Article

WiBiA: Wireless Sensor Networks Based on Biomimicry Algorithms

Meonghun Lee, Hyun Yoe
Pages: 1212 - 1220
The goal of biomimicry is to resolve problems by studying and mimicking the characteristics of organisms or design elements in nature. Although wireless sensor networks are used in various fields, they have limited network lifespan. Research has thus focused on observing and modeling the behavioral principles...
Research Article

The Topological Analysis of Urban Transit System as a Small-World Network

Zhaosheng Yang, Huxing Zhou, Peng Gao, Hong Chen, Nan Zhang
Pages: 1216 - 1223
This paper proposes a topological analysis of urban transit system based on a functional representation network constructed from the urban transit system in Beijing. The representation gives a functional view on nodes named a transit line. Statistical measures are computed and introduced in complex network...
Research Article

Composable Instructions and Prospection Guided Visuomotor Control for Robotic Manipulation

Quanquan Shao, Jie Hu, Weiming Wang, Yi Fang, Mingshuo Han, Jin Qi, Jin Ma
Pages: 1221 - 1231
Deep neural network-based end-to-end visuomotor control for robotic manipulation is becoming a hot issue of robotics field recently. One-hot vector is often used for multi-task situation in this framework. However, it is inflexible using one-hot vector to describe multiple tasks and transmit intentions...
Research Article

A reliability-based approach of fastest routes planning in dynamic traffic network under emergency management situation

Ye Sun
Pages: 1224 - 1236
In order to establish an available emergency management system, it is important to conduct effective evacuation with reliable and real time optimal route plans. This paper aims at creating a route finding strategy by considering the time dependent factors as well as uncertainties that may be encountered...
Research Article

Numerical Solution of Fuzzy Differential Equations with Z-numbers Using Bernstein Neural Networks

Raheleh Jafari, Wen Yu, Xiaoou Li, Sina Razvarz
Pages: 1226 - 1237
The uncertain nonlinear systems can be modeled with fuzzy equations or fuzzy differential equations (FDEs) by incorporating the fuzzy set theory. The solutions of them are applied to analyze many engineering problems. However, it is very difficult to obtain solutions of FDEs. In this paper, the solutions...
Research Article

A Three-Stage Based Ensemble Learning for Improved Software Fault Prediction: An Empirical Comparative Study

Chubato Wondaferaw Yohannese, Tianrui Li, Kamal Bashir
Pages: 1229 - 1247
Software Fault Prediction (SFP) research has made enormous endeavor to accurately predict fault proneness of software modules, thus maximize precious software test resources, reduce maintenance cost and contributes to produce quality software products. In this regard, Machine Learning (ML) has been successfully...
Research Article

Face Inpainting with Deep Generative Models

Zhenping Qiang, Libo He, Qinghui Zhang, Junqiu Li
Pages: 1232 - 1244
Semantic face inpainting from corrupted images is a challenging problem in computer vision and has many practical applications. Different from well-studied nature image inpainting, the face inpainting task often needs to fill pixels semantically into a missing region based on the available visual data....
Research Article

Study on Driving Dangerous Area in Road Curved Section Based on Vehicle Track Characteristics

Yuan-yuan Ren, Xian-sheng Li, You Ren, Rachel Guan, Wei-wei Guo
Pages: 1237 - 1245
Plenty of experiments and data analysis of vehicle track type in road curved section show that the deviation and the crossing characteristics of vehicle track paths are directly related to the driving stability and security. In this paper, the concept of driving dangerous area in curved section was proposed...
Research Article

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, Maria José del Jesús, Luciano Sánchez, Francisco Herrera
Pages: 1238 - 1249
This paper introduces the 3rd major release of the KEEL Software. KEEL is an open source Java framework (GPLv3 license) that provides a number of modules to perform a wide variety of data mining tasks. It includes tools to perform data management, design of multiple kind of experiments, statistical analyses,...
Research Article

A Contradiction Separation Dynamic Deduction Algorithm Based on Optimized Proof Search

Feng Cao, Yang Xu, Shuwei Chen, Jian Zhong, Guanfeng Wu
Pages: 1245 - 1254
Most of the advanced first-order logic automated theorem proving (ATP) systems adopt binary resolution methods as the core inference mechanism, where only two clauses are involved and a complementary pair of literals are eliminated during each deduction step. Recently, a novel multi-clause inference...
Research Article

Bit Error Rate Performance Bounds of SC-FDE under Arbitrary Multipath Mobile Communication Channels in Transportation

Xiujie Qu, Mingke Dong, Wujun Wang, Wenyang Guan
Pages: 1246 - 1235
This paper focuses on the bit error rate (BER) performance of intelligent transportation communication system under multi-path mobile frequency-selective channels. After presenting the theoretical BER performance formula of single carrier frequency domain equalization (SC-FDE) in the form of double integral,...
Research Article

EGFR Microdeletion Mutations Analysis System Model Using Parameters Combinations Generator for Design of RADBAS Neural Network Knowledge Based Identifier

Zikrija Avdagic, Vedad Letic, Dusanka Boskovic, Aida Saracevic
Pages: 1248 - 1267
The aim of this research is to automate an analysis of the EGFR gene as a whole, and especially an analysis of those exons with clinically identified microdeletion mutations which are recorded with non-mutated nucleotides in a long chains of a, c, t, g nucleotides, and “-“ (microdeletion) in the NCBI...
Research Article

Particle Swarm Optimization and harmony search based clustering and routing in Wireless Sensor Networks

Veena Anand, Sudhakar Pandey
Pages: 1252 - 1262
Wireless Sensor Networks (WSN) has the disadvantage of limited and non-rechargeable energy resource in WSN creates a challenge and led to development of various clustering and routing algorithms. The paper proposes an approach for improving network lifetime by using Particle swarm optimization based...
Research Article

Applicable Prevention Method of Braess Paradox in Urban Traffic Flow Guidance System

Zhaosheng Yang, Peng Gao, Mo Li, Nan Zhang
Pages: 1254 - 1261
Urban Traffic Flow Guidance System (UTFGS) may cause the overreaction and concentration of travelers and lead to the phenomenon of Braess Paradox. The paper develops a constrained K-shortest paths algorithm within a dynamic restricted searching area in consideration of realistic road network spatial...
Research Article

A Bargaining Solution With Level Structure

Xiao Yan, Li Dengfeng
Pages: 1255 - 1260
Presently, a conventional coalition structure can no more cover all the types of cooperative structures in practice, external cooperation between the coalitions also affects the payoff allocation between the participants. We propose a solution to solve the bargaining problem with level structure by defining...
Research Article

Hybrid Dragonfly Optimization-Based Artificial Neural Network for the Recognition of Epilepsy

K. G. Parthiban, S. Vijayachitra, R. Dhanapal
Pages: 1261 - 1269
Epilepsy can well be stated as a disorder of the central nervous systems (CNS) that brought about recurring seizures owing to chronic abnormal blasts of electrical discharge on the brain. Knowing if an individual is having a seizure and diagnosing the seizure type or epilepsy syndrome could be hard....
Research Article

Dimensional Quality Oriented Reliability Modeling for Complex Manufacturing Processes

Faping Zhang, Jiping Lu, Yan Yan, Shuiyuan Tang, Chao Meng
Pages: 1262 - 1268
The stability of process is certainly one of the most important aspects to fulfill the task. Now, it is still a challenge to put forward a model to deal with the stability of manufacturing process mathematically. Aiming at solving the problem, this paper discusses the issues by the notion of manufacturing...
Research Article

Hybrid Firefly Variants Algorithm for Localization Optimization in WSN

P. SrideviPonmalar, V. Jawahar Senthil Kumar, R. Harikrishnan
Pages: 1263 - 1271
Localization is one of the key issues in wireless sensor networks. Several algorithms and techniques have been introduced for localization. Localization is a procedural technique of estimating the sensor node location. In this paper, a novel three hybrid algorithms based on firefly is proposed for localization...
Research Article

Optimal Choice of Enterprise’s Production Strategy under Constraints of Carbon Quota

Xiping Zheng, Qiang Guo, Zenglu Li, Ting Zhang
Pages: 1268 - 1277
After analyzing the enterprise’s production strategy under the constraints of carbon quota, this paper proposes new mathematical models aiming for the optimal choice of enterprise’s production strategy under the monopoly and competitive environments respectively. Combining the neural network optimization...
Research Article

Extraction and Recognition Methods of Vehicle Driving Tendency Feature Based on Driver vehicle-environment Dynamic Data under Car Following

Xiaoyuan Wang, Jinglei Zhang
Pages: 1269 - 1281
Driving tendency is the comprehensive embodiment of driver's physiological and psychological characteristics. It reflects driver's psychological condition during the process of driving. Identification of the driving tendency has great significance to researching of the driver assistant system, especially...
Research Article

A Hybrid Global Optimization Algorithm Based on Particle Swarm Optimization and Gaussian Process

Yan Zhang, Hongyu Li, Enhe Bao, Lu Zhang, Aiping Yu
Pages: 1270 - 1281
The optimization problems and algorithms are the basics subfield in artificial intelligence, which is booming in the almost any industrial field. However, the computational cost is always the issue which hinders its applicability. This paper proposes a novel hybrid optimization algorithm for solving...
Research Article

Classifier Optimized for Resource-constrained Pervasive Systems and Energy-efficiency

Niklas Karvonen, Lara Lorna Jimenez, Miguel Gomez Simon, Joakim Nilsson, Basel Kikhia, Josef Hallberg
Pages: 1272 - 1279
Computational intelligence is often used in smart environment applications in order to determine a user’s context. Many computational intelligence algorithms are complex and resource-consuming which can be problematic for implementation devices such as FPGA:s, ASIC:s and low-level microcontrollers. These...
Research Article

Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?

Miriam Seoane Santos, Pedro Henriques Abreu, Rodríguez-Bermúdez Germán, Pedro J. García-Laencina
Pages: 1278 - 1293
Brain-Computer Interface systems based on motor imagery are able to identify an individual’s intent to initiate control through the classification of encephalography patterns. Correctly classifying such patterns is instrumental and strongly depends in a robust machine learning block that is able to properly...
Research Article

Analysis of Time – Frequency EEG Feature Extraction Methods for Mental Task Classification

Caglar Uyulan, Turker Tekin Erguzel
Pages: 1280 - 1288
Many endogenous and external components may affect the physiological, mental and behavioral states in humans. Monitoring tools are required to evaluate biomarkers, identify biological events, and predict their outcomes. Being one of the valuable indicators, brain biomarkers derived from temporal or spectral...
Research Article

Simulation of Assembly Tolerance and Characteristics of High Pressure Common Rail Injector

Jiping Lu, Shuiyuan Tang, Yong Zhou, Jing Hong, Zhonghua Jian
Pages: 1282 - 1289
Fuel injector is the key part of a high-pressure common rail fuel injection system. Its manufacturing precision and assembly quality affect system's property and performance. According to the characteristics and demands of assembly of the fuel injector, an intelligent optimization algorithm is proposed...
Research Article

Artificial Neural Network to Model Managerial Timing Decision: Non-linear Evidence of Deviation from Target Leverage

Hafezali Iqbal Hussain, Fakarudin Kamarudin, Hassanudin Mohd Thas Thaker, Milad Abdelnabi Salem
Pages: 1282 - 1294
The current study highlights the utilization of a non-linear model to analyze an important decision-making process in the study of corporate finance where managers are deciding on the capital structure of a firm. This study compares the results from based on the unbalanced panel data multiple regression...
Research Article

Modeling Users’ Data Traces in Multi-Resident Ambient Assisted Living Environments

Vahid Ghasemi, Ali Akbar Pouyan
Pages: 1289 - 1297
Modeling users’ data traces is of crucial importance for human behavior analysis and context-aware applications in ambient assisted living (AAL) environments. However, learning the parameters of the underlying model is a challenging task in multi-occupant environments; because, the anonymous users’ data...
Research Article

A Study on Guide Sign Validity in Driving Simulator

Wei Zhonghua, Chen Xuemei, Gong Ming
Pages: 1290 - 1297
The role of guide sign to inform road user about the information of network is important. How to design and locate guide sign to increase traffic operation efficiency is a key point for traffic engineers. Driving simulator is useful devised to study guide sign in the process and system control. For the...
Research Article

Evolutionary computation for optimal knots allocation in smoothing splines of one or two variables

P. González, H. Idais, M. Pasadas, M. Yasin
Pages: 1294 - 1306
Curve and surface fitting are important and attractive problems in many applied domains, from CAD techniques to geological prospections. Different methodologies have been developed to find a curve or a surface that best describes some 2D or 3D data, or just to approximate some function of one or several...
Research Article

Economic Impact of Artificial Intelligence: New Look for the Macroeconomic Assessment in Asia-Pacific Region

Muhammad Haseeb, Sasmoko, Leonardus W. W. Mihardjo, Abid Rashid Gill, Kittisak Jermsittiparsert
Pages: 1295 - 1310
Objective To determine the impact of artificial intelligence (AI) on the selected economies in the Asia-Pacific region. Methods This secondary research collected data from macroeconomic and AI-specific data sets. The sources of data from which insights were gained included digital technology sectors...
Research Article

Energy-Efficient Acoustic Violence Detector for Smart Cities

Marta Bautista-Durán, Joaquín García-Gómez, Roberto Gil-Pita, Inma Mohíno-Herranz, Manuel Rosa-Zurera
Pages: 1298 - 1305
Violence detection represents an important issue to take into account in the design of intelligent algorithms for smart environments. This paper proposes an energy-efficient system capable of acoustically detecting violence. In our solution, genetic algorithms are used to select the best subset of features...
Research Article

A Calibration Method for A Linear Structured Light System with Three Collinear Points

Yan Liu, Qinglin Wang, Yuan Li, Jinhua She
Pages: 1298 - 1306
A calibration method to calibrate both the camera intrinsic parameters and the structured light projector based on three collinear points with any known distance is presented. First, fix one point of the target and move it in the camera field of view with unknown viewpoint at least six times. Next, use...
Research Article

Fuzzy-Logic-Based Application to Combat Gender Violence

José Á. Concepción-Sánchez, Pino Caballero-Gil, Jezabel Molina-Gil
Pages: 1306 - 1313
Gender violence is one of the most serious and widespread problems in our society. In dangerous cases, the use of special devices for GPS tracing is recommended in some countries. However, these devices are used only in extreme cases and have many drawbacks. This work describes a new system to combat...
Research Article

Dealing with Missing Data using a Selection Algorithm on Rough Sets

Jonathan Prieto-Cubides, Camilo Argoty
Pages: 1307 - 1321
This paper discusses the so-called missing data problem, i.e. the problem of imputing missing values in information systems. A new algorithm, called the ARSI algorithm, is proposed to address the imputation problem of missing values on categorical databases using the framework of rough set theory. This...
Research Article

Investigation of commuting and non-commuting travel features for the popularization of public transportation system

Ye Sun, Xinmiao Yang
Pages: 1307 - 1318
The increasing travel demands and the growing diversity of trip purposes in megacities are placing more pressure on the urban transportation system, and there is an urgent need to popularize public transportation and control the exploding increase in travels by private cars. In order to enhance the competence...
Research Article

Regional Input–Output Multiple Choice Goal Programming Model and Method for Industry Structure Optimization on Energy Conservation and GHG Emission Reduction in China

Ping Ping Lin, Deng Feng Li, Bin Qian Jiang, An Peng Wei, Gao Feng Yu
Pages: 1311 - 1322
To assess the potential of China's industrial restructuring on energy conservation and greenhouse gas (GHG) emission reduction in 2020, this study proposes an input–output multi-choice goal programming model and method. In this model, the goals include the maximization of gross domestic product (GDP),...
Research Article

Elitism set based particle swarm optimization and its application

Yanxia Sun, Zenghui Wang
Pages: 1316 - 1329
Topology plays an important role for Particle Swarm Optimization (PSO) to achieve good optimization performance. It is difficult to find one topology structure for the particles to achieve better optimization performance than the others since the optimization performance not only depends on the searching...
Research Article

A Nonlinear Optimal Guidance Law with Terminal Impact Angle Constraint

Haoping She, Shuxing Yang, Hui Ni, Horst Baier
Pages: 1319 - 1324
State-dependent Riccati equation (SDRE) techniques are rapidly emerging as general design methods for nonlinear controllers. A nonlinear optimal guidance law with impact angle constraint is derived for planar engagements to attack stationary targets. The guidance problem is formulated as an infinite...