Abstract
This paper presents a fuzzy-tuned neural network, which is trained by the genetic algorithm (GA). The fuzzy-tuned neural network consists of a neural-fuzzy network and a modified neural network. In the modified neural network, a novel neuron model with two activation functions is employed. The parameters of the proposed network are tuned by GA with arithmetic crossover and non-uniform mutation. Some application examples are given to illustrate the merits of the proposed network.
Original language | English |
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Title of host publication | IEEE International Conference on Fuzzy Systems |
Pages | 220-225 |
Number of pages | 6 |
Publication status | Published - 14 Jul 2003 |
Event | The IEEE International conference on Fuzzy Systems - St. Louis, MO, United States Duration: 25 May 2003 → 28 May 2003 |
Conference
Conference | The IEEE International conference on Fuzzy Systems |
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Country/Territory | United States |
City | St. Louis, MO |
Period | 25/05/03 → 28/05/03 |
Keywords
- Genetic Algorithm
- Neural Fuzzy Network
- Neural Network
ASJC Scopus subject areas
- Theoretical Computer Science
- Software
- Artificial Intelligence
- Applied Mathematics