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Article
Brain-inspired STA for parameter estimation of fractional-order memristor-based chaotic systems
It is very important to estimate the unknown parameters of the fractional-order memristor-based chaotic systems (FOMCSs). In this study, a brain-inspired state transition algorithm (BISTA) is proposed to estim...
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Article
Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis
The class imbalance problem often appears in practical applications, where one class has numerous instances and the other has only a few instances. Synthetic Minority Over-sampling TEchnique (SMOTE) is the mos...
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Article
Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm
The nonferrous metallurgy industry is a major energy consumer in China, and accurate energy consumption forecasting for the nonferrous metallurgy industry can help government policymakers with energy planning....
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Article
A Novel Cognitively Inspired State Transition Algorithm for Solving the Linear Bi-Level Programming Problem
Linear bi-level programming (LBLP) is a useful tool for modeling decentralized decision-making problems. It has two-level (upper-level and lower-level) objectives. Many studies have shown that the LBLP problem...
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Chapter and Conference Paper
Research on an Intelligent Liquid Lamp Inspector Based on Machine Vision
The traditional oral liquid light inspect method has many defects and deficiencies. In this paper, an automatic oral liquid light inspection machine is designed to implement the detection of visible particles ...
