Genetic algorithm for training dynamical object emulator based on RBF neural network

Author:

Sergeev S.A.1,Mahotilo K.V.1,Voronovsky G.K.2,Petrashev S.N.2

Affiliation:

1. Kharkov State Polytechnic University, 21 Frunze St., Kharkov 310002, Ukraine E-mail: sergeev@kpi.kharkov.ua

2. Kharkov Combined Cycle Plant-5, Podvorky, Kharkov 312024, Ukraine E-mail: petrash@lotus.kpi.kharkov.ua

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Growing Elliptical RBF Network for Power Plant Return Water Temperature Model;2023 IEEE 4th KhPI Week on Advanced Technology (KhPIWeek);2023-10-02

2. Adaptive MPC for ozone dosing process of drinking water treatment based on RBF modeling;Transactions of the Institute of Measurement and Control;2013-06-25

3. Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm;Soft Computing;2011-11-08

4. Diploid Genetic Algorithm with Mortality;Journal of Automation and Information Sciences;2011

5. CO2RBFN: an evolutionary cooperative–competitive RBFN design algorithm for classification problems;Soft Computing;2009-09-16

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