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Computational Intelligence and Neuroscience - 2016 - Rere - Metaheuristic Algorithms For Convolution Neural Network by Milton DOS SANTOS is a document available to read on EtoBox.

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The research article discusses the implementation of metaheuristic algorithms, specifically simulated annealing, differential evolution, and harmony search, to optimize convolution neural networks (CNN) for improved accuracy in classifying datasets like MNIST and CIFAR. The study highlights that while these methods increase computation time, they can enhance accuracy by up to 7.14 percent compared to traditional CNN approaches. The paper provides a detailed comparison of the performance of these algorithms

Author

Milton DOS SANTOS

Language

EN