Comparison of Optimization Techniques for Modular Neural Networks Applied to Human Recognition
Nature-Inspired Design of Hybrid Intelligent Systems, pp. 225-241, 2017.
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
Full Text (Upload PDF)
PPT (Upload PPT)