Comparison of Optimization Techniques for Modular Neural Networks Applied to Human Recognition

Nature-Inspired Design of Hybrid Intelligent Systems, pp. 225-241, 2017.

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Abstract:

In this paper a comparison of optimization techniques for a Modular Neural Network (MNN) with a granular approach is presented. A Hierarchical Genetic Algorithm, a Firefly Algorithm (FA), and a Grey Wolf Optimizer are developed to perform a comparison of results. These algorithms design optimal MNN architectures, where their main task is ...More

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