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In this paper, a novel fusion method based on Total Error Rate (TER) and multiple hidden layer probabilistic extreme learning machine is proposed. At first, the study transfers the matching scores into TER based on corresponding False Reject Rates (FRR) and False Accept Rates (FAR) aims at avoiding to...

Based on results of biomass combustion and pyrolysis using TG-DSC analyzer, biomass thermodynamics characteristics were studied. Integrated heat model and differential heat model were used to determined biomass thermal behavior, and the former fitted the actual better; the heat capacities with temperature...

There are various factors affecting drying shrinkage of cement-based material, including use quantity of cement and auxiliary cementitious material, water cement ratio, maintenance system and drying condition, and in addition, total quantity of coarse and fine aggregate, matching and category also affect...

As an excellent tear agent of the second generation, CS has been widely used in the police department of many countries. CS disperses the crowd depending on the aerosol in the air due to combustion and explosion. And at the same time, CS decomposes into a variety of products. With the use of TG/DSC-FITR...

As the hidden Markov model (HMM) has a strong ability of time sequence modeling, the continuous Gaussian mixture HMM is used to establish a model base of the rolling bearing fault. An adaptive particle swarm optimization (APSO) with extremum disturbed operator and dynamic change of inertia weights is...

Photovoltaic (PV) systems are a promising renewable energy source, but their efficiency is affected by the angle of incidence of sunlight. It is necessary to have a control system for both light capture and optimizing PV power output. When capturing sunlight by PV, a conditioner is needed in the form...

The Ni-Co/HZSM-5 methane dehydroaromatization (DHA) catalyst was prepared using wet impregnation. The catalysts were characterized by XRD, TEM, TG-DSC, FT-IR and XPS techniques before and after reaction. The results show that the maximum conversion rate of methane DHA at 580 reached 39.8%. The carbon-silicon-oxygen...

This paper presents a novel approach of designing linear phase FIR low pass and high pass filter using Random PSO in hybrid with DE known as Random PSODE (RPSODE). In this paper, the Random PSO is used which utilises the weighted particle to guide the search direction for both explorative and exploitative...

Roughness is a comprehensive assessment indicator of pavement performance. Prediction of pavement roughness exhibits great difficulties by using traditional methods such as mechanistic-empirical method and regression method. Considering the fact that the value of international roughness index (IRI) varies...

For the issues of local optimum and difficult convergence based on traditional Particle Swarm Optimization (PSO), this paper is proposed a new inertia weight which applies to denoise the harmonic of power quality and enhance the precision when selecting threshold in harmonic signal de-noising, and the...

The paper is about the construction of engineering process management mechanism and framework based on work-flow, and of the overall framework model including: project management process, organization, and information integration. Besides, PSO algorithm is improved, and the model on it is also analyzed....

This paper proposes a new scheme for preventing a Particle Swarm Optimizer from premature convergence on multimodal optimization problems. Instead of only using fitness evaluation, we use a new index called particle age to guide population towards more promising region of the search space. The particle...

Smart grid is an inevitable choice for the future development of the grid. Smart scheduling is one of the cores to build the strong and smart grid in China. Optimization and Management System for Grid Maintenance Scheduling is an in-depth exploration to achieve dispatching digitalization, intellectualization...

The addition of nano-SiO₂ to 20% silane coupling agent is carried out using anhydrous ethanol as the solvent in the presence of acetic acid. The styrene-butadiene-styrene (SBS) is added with 1% dicumyl peroxide crosslinking agent by adding 5% maleic anhydride grafted polyethylene to be modified on an...

Silver doped TiO2 catalyst TiO2-Ag was synthesized by microwave hydrothermal method when the optimal condition was selected with orthogonal and single factor tests. The photocatalytic activity of TiO2-Ag catalyst was further enhanced by the microwave and ultrasonic assisted with using methyl orange as...

Based on distributed algorithm, in order to make it more effective, we hope to optimize certain steps of the algorithm by the introduction of PSO. PSO is one of the swarm intelligence algorithm that has been developed in recent years aiming at multi-objective optimization, which based on the hypothesis...

In order to solve the problem that the output speed of the CVT is too high, an optimization of Pulse CVT Based on Improved Particle Swarm Algorithm is proposed. Firstly, an improved particle swarm optimization (PSO) algorithm is proposed, which can improve the accuracy and efficiency of the algorithm...

In order to build intelligent robots to accomplish soccer game tasks, this paper introduces evolutionary computing in agent architecture for perception, planning, and action: (1) an architecture based on PSO is proposed, which made up of 4 levels: atomic action, combo action, behavior and policy. (2)...

This study introduces a probabilistic and interpretable method for assessing slope stability using Particle Swarm Optimization (PSO), LightGBMLSS, and Shapley Additive Explanations (SHAP). The method models the probability distribution of the slope safety factor through the LightGBMLSS model, with hyperparameters...

Nowadays, the change of marketplace require manufacturing system to diversify from mass customization style to step-mass customization style, thus lead to the manufacturing value orientation change from product oriented to custom oriented, main manufacturing strategy change from cost, quality etc. to...

This paper presents an improved particle swarm optimizer (PSO) for solving multimodal optimization problems with problem-specific constraints and mixed variables. The standard PSO is extended by employing a comprehensive learning strategy, different particle updating approaches, and a feasibility-based...

The network intrusion detection systems which based on anomaly detection techniques plays an important role in protection network and systems from harmful attacks. With increasing in attacks and the new security challenges, The lower accuracy of anomaly detection method based on cluster analysis network...

In the lightning monitoring systems, positioning calculation is directly related to the results of the detection accuracy. In this paper, the concept of the particle swarm optimization (PSO) algorithm for lightning location estimation was brought in. The PSO overcome the disadvantages of iterative method,...

DTA/SDTG and DSC techniques were used to study the thermal behaviors of citronellol- -D-glucopyranoside (CGLY) . The heating rate was 5, 7.5, 10, and 12.5 K min-1, the samples were heated from 30oC to 500oC. Methods of Friedman and Flynn-Wall-Ozawa were applied to calculate the parameters of thermal...

With the wide use of automatic production line in manufacturing enterprises, it is very important to calculate the optimal production tact to make production lines achieve maximum productivity. A CE-PSO algorithm is applied to optimize the tact of the LED bulb production line in this paper. The main...

A new linear 10-undecenoic acid-based diol and a chain extenders with 12C dangling chain length were synthesized via thiol-ene coupling and esterification reaction. In order to investigate the effect of the 10-undecenoic acid-based diol chain extender, the mole percent of the 10-undecenoic acid-based...

Inspiring by nature have motivated many researchers in many fields of sciences and engineering. The Gravitational search algorithm (GSA) is a recent created metaheuristic algorithm by using law of gravity and mass interactions. In this paper, a new operator inspired by some of the characteristics of...

To overcome the problem of poor accuracy of short-term photovoltaic power prediction, This paper proposes a short-term PV power prediction algorithm based on radial basis function neural network(RBFNN) after similar day clustering on solar irradiance and air temperature as the input variables; At the...

Purpose: to discuss the function of polydatin on regulating blood-lipid and anti-atherosclerosis. Method: feed rats with high-fat diet to establish early atherosclerosis model, after the model is established successfully, feed with high, medium and low dose of polydatin (160 80 40mg•kg-1•d-1), 8 weeks...

The last decade has witnessed a great interest on the application of evolutionary algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO) and gene expression programming (GEP), for optimization problems. This paper presents a hybrid algorithm by combining the GEP algorithm and the...

To enrich the basic theory of the reductive decomposition process of PG(phosphogypsum), emphasis was laid on the exploration of the impact of the main impurities on the process. Firstly, the simulation computation was done on the systems of pure gypsum mixed with coal with or without impurities under...

An intuitionistic fuzzy hybrid discrete particle swarm optimization (IF-HDPSO) is proposed for solving travelling salesman problem (TSP). By defining intuitionistic fuzzy charisma function, the IF-HDPSO algorithm exploits some other individuals to participate in the updates of velocity and position except...

This paper presents a shuffled frog leaping algorithm (SFLA) with comprehensive learning strategy (SFLA-CL) for global optimization. This algorithm uses a novel learning strategy whereby all other frogs’ information of the memplex is used to update the worst frog’s position. The strategy enables the...

This paper made the lowest cost as the goal to establish the cold chain logistics optimization model according to the characteristics of cold chain logistics and distribution. The PSO was improved to make it suitable for logistics distribution issues. Finally, examples are verified that the improved...

In particle swarm algorithm, the introduction of glowworm algorithm, according to domain to determine a perception range, within the scope of perception of all the particles find an extreme value point sequence, which apply roulette method, choose a particle instead of global extreme value.So as to scattered...

A clustering algorithm combining particle swarm optimization (CPSO) with K-Means (KM-CPSO) is proposed, which features better search efficiency than K-Means, PSO and CPSO. The K-Means algorithms cannot guarantee convergence to global optima and suffer in local optimal cluster center because they are...

The process of Pichia pastoris fermentation has a long period and less offline data . The cell concentration and some other important variables can not be measured on line. The soft sensor modeling at present is mainly the artificial neural network (ANN).This paper introduces the Support Vector Machine...

The adsorbent H8Nb22O59•8H2O and its precursor Rb8Nb22O59 were prepared to produce high-purify NaCl. Their characteristics were studied by X-ray diffraction (XRD), thermogravimetric and differential scanning calorimetry (TG-DSC) and scanning electron microscope (SEM). Two main calcinations factors of...

In view of the problem that the slow manual approval of loans and traditional classification algorithms have low recognition rate for a few sample classes, an integrated learning classification model based on PSO optimization support vector machines is proposed. Particle swarm optimization (PSO) is used...

Better methods of forecasting the concentrations of air pollution are important in developmental of sound policies and decisions at a time when environmental concerns and the need for mitigating climate change has become important. This paper describes how climate pollution can be predicted from climate...

Perfluorinated sulfonic acid ion exchange membrane doped the silicotungstic acid thermal stability and thermal degradation kinetics were studied by means of thermal gravimetric analysis in a nitrogen atmosphere, the heating rate used respectively was 5, 10, 20 and 30 /min. Using the Kissinger, Flynn-Wall-Ozawa,...

Eu3+doped -Bi2MoO6 red uminescent powder is prepared by co-precipitation method in this paper. Structure and constitution of powder samples are examined by DTA-TG, XRD and IR. Results showed that: quadrature phase -Bi2Mo3O12 is achieved when anneal temperature is 800 and pH is below 3; while quadrature...

It is very difficult to solve the large-scaled in the semiconductor device simulation, sparse and ill-conditioned matrix equation exactly and quickly. So the particle swarm optimization algorithm(PSO) based on the swarm intelligent technology is presented to get the global optimal solution of the matrix...

In recent years, multilevel inverters (MLIs) have found major applications in motor control and renewable energy systems (RES). Solar photovoltaic (PV) arrays have varied output voltages and require the support of battery energy storage systems (BESS) to maintain controlled output. The use of modular...

Cationic starch-based hydrogel was synthesized by simultaneous gamma irradiation of starch (St), acrylamide (AAM), allyl triphenyl phosphonium bromide (APB) and N,N'-methylene bisacrylamide (MBA) as cross-linker in aqueous solution. The molecular mass of the un-grafted AAM/APB copolymer, the cationic...

Five kinds of Brønsted-acidic ionic liquids with different nitrogen-contained chemical groups and different anions were synthesized, and were respectively characterized by nuclear magnetic resonance(NMR), infrared spectrum (IR), electrospray ionization mass spectrum (ESI-MS) and thermogravimetry(TG....

A novel sulfur ion exchange fiber - thiosemicarbazide chelating ion exchange fiber (TSCIEF) was prepared by nucleophilic substitution reaction of chloramethylated polypropylene graft styrene (CPP-g-St) fiber and thiosemicarbazide, using anhydrous ethanol as swelling agent. The structure of TSCIEF was...

Currently, machine learning is widely used to predict the winning rate of various games. As one of the most popular games among young people, predicting League of Legends is significant for both the players and the game. In order to identify the factors that affect game results, and predict the wining...

In this paper, Fuzzy Cognitive Map (FCM) is employed and discussed to analyze time series that represents fault dynamics. At first, the essential of FCM prototype is shown, and diversified data set that are produced from the prototype to construct candidate FCM model is proposed. The Particle Swarm Optimization...

Nowadays, the increasing instability of the global economy (such as economic crises happen frequently, data explosion, etc.) has generated the demand for stock market dynamics prediction. Among them, the stock market has the characteristics of nonlinear, violent fluctuations, and easy to be affected...