International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 8, Issue 6, December 2015
D. K. Bebarta, Birendra Biswal, P. K. Dash
Pages: 1004 - 1016
A low complexity Polynomial Functional link Artificial Recurrent Neural Network (PFLARNN) has been proposed for the prediction of financial time series data. Although different types of polynomial functions have been used for low complexity neural network architectures earlier for stock market prediction,...
Hong-yu Zhang, Pu Ji, Jian-qiang Wang, Xiao-hong Chen
Pages: 1027 - 1043
This paper presents a new correlation coefficient measure, which satisfies the requirement of this measure equaling one if and only if two interval neutrosophic sets (INSs) are the same. And an objective weight of INSs is presented to unearth and utilize deeper information that is uncertain. Using the...
Lei Wu, Wensheng Xiao, Jingli Wang, Houqiang Zhou, Xue Tian
Pages: 1044 - 1052
Genetic algorithm (GA) is a search algorithm based on the theory of Darwin. For the purpose of improving the convergent rate and maintaining the population diversity in GA, this paper presents a new genetic operator called trisecting group and directional selection mechanism (TDGA), in which the worst...
A.D. Masegosa, E. Onieva, P. Lopez-Garcia, E. Osaba, A. Perallos
Pages: 1053 - 1075
Dynamic Optimization Problems (DOPs) have attracted a growing interest in recent years. This interest is mainly due to two reasons: their closeness to practical real conditions and their high complexity. The majority of the approaches proposed so far to solve DOPs are population-based methods, because...
Atef Zaguia, Chakib Tadj, Amar Ramdane-Cherif
Pages: 1076 - 1090
The current technological advancement has created the need to produce machines more powerful, easy to use and to meet the needs of users. To achieve this goal, multimodal systems have been developed to combine multiple modalities depending on the task, preferences and communicative intentions of the...
Dongjin Yu, Wensheng Dou, Zhixiang Zhu, Jiaojiao Wang
Pages: 1091 - 1102
Frequently accessed views in data warehouses are usually materialized in order to accelerate the speed of querying big data. However, the view materialization itself incurs huge costs. Moreover, some latest products of non-traditional data warehouse software, such as Apache Hive, still lack the support...
Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura
Pages: 1144 - 1164
Recommending classification algorithms is an open research problem the solution to which is of tremendous value for practitioners and non-experts data mining users such as educators. This paper proposes a new meta-learning framework for educational domains based on the use of multi-label learning for...
Jiayin Sun, Hongyan Wang
Pages: 1165 - 1177
This paper describes a method for transcribing the main structure of polyphonic music audio automatically by analyzing musical tonality related musicological information. Music transcription is a difficult topic in Music Information Retrieval (MIR) which contains many tasks to recognize all the elements...
Andrzej Piegat, Marcin Pluciński
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...