Abstract
This paper presents the control of nonlinear systems with a neural network. In the proposed neural network, the neuron has two activation functions and exhibits a node-to-node relationship in the hidden layer. By using a genetic algorithm with arithmetic crossover and non-uniform mutation, the parameters of the proposed neural network can be tuned. Application examples are given to illustrate the merits of the proposed neural network.
Original language | English |
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Title of host publication | 2007 IEEE Congress on Evolutionary Computation, CEC 2007 |
Pages | 1614-1619 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 1 Dec 2007 |
Event | 2007 IEEE Congress on Evolutionary Computation, CEC 2007 - , Singapore Duration: 25 Sept 2007 → 28 Sept 2007 |
Conference
Conference | 2007 IEEE Congress on Evolutionary Computation, CEC 2007 |
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Country/Territory | Singapore |
Period | 25/09/07 → 28/09/07 |
ASJC Scopus subject areas
- Artificial Intelligence
- Software
- Theoretical Computer Science