Abstract

1. Introduction

2. Genes with multiple domains for designing neural networks

3. Special genetic operators
3.1. Domain-specific transposition
3.2. Intragenic two-point recombination
3.3. Direct mutation of weights and thresholds

4. Solving problems with neural networks designed by gene expression programming
4.1. Neural network for the exclusive-or problem
4.2. Neural network for the 6-multiplexer

5. Conclusions

Bibliography

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