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Estimation of Wavenet Optimistic Values by using Genetic algorithm to Recognize Colored images | ||
| journal of the college of basic education | ||
| Article 1, Volume 17, Issue 71, 2011, Pages 43-60 | ||
| Author | ||
| Dr.Entidhar Mhawes Zghair | ||
| Abstract | ||
| The purpose of this work is to use Wave net and genetic algorithms for the prediction of the presented an original initialization procedure for the parameters of feed-forward wavelet networks, prior to training by gradient-based techniques. Genetic algorithm global optimization techniques can be providing near optimal value for learning rate, translation, dilation, and hidden nodes. Then the net work can be learning in short learning time (reduce %50 from number of iteration) with desired accuracy is more than the desired accuracy without using genetic algorithm.Then it uses the genetic algorithm method to determine a set of best wave net whose translation and dilation parameters with optimal value of learning rate. The hidden nodes are used as initial values for subsequence training. The results show high accuracy in classification and recognize of color medical images convert as gray level of applying of (WN). | ||
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