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The Combination of Genetic Programming and Genetic Algorithm for Neural Networks Design and Training | ||
| Journal of University of Babylon | ||
| Article 1, Volume 18, Issue 1, 2011, Pages 350-359 | ||
| Authors | ||
| Ahmed Badri Muslim; Ali Khalid Mohamed Ali | ||
| Abstract | ||
| We present in this paper using of two evolutionary computations tools for design and training feed-forward neural networks . We use genetic programming algorithm to discover suitable design for neural network that modeled the selected problem . This discover design it have features that make neural network less cost in structure (the smaller network topology) that give desired output for problem . Genetic programming it is a search algorithm that dell with population of tree structures , each of these tree structure it use as suggested design for neural network . The optimization is done throw minimization number of hiding layers and number of neurons in each layer with less connectivity with other neurons . Each new generated neural net send to genetic algorithm for training . Genetic algorithm work as learning algorithm that specify the training set of weights that linked with neural network connection . This work represent global approach that give promising result for some problems . | ||
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