Platform Development of Optimization System based on Active Artificial Neural Network

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The purpose of this research is about a practical system based on Artificial Neural Networks, our results are as follows. To use this network, we can always get a best solution of Travelling Salseman Problem which is a practical and typical one. Moreover, we proposed a DS-net to improve calculation time. 2) To the purpose of applying a parallel computation algorithm, we proposed a modular neural network and we used a GPGPU technique and then we achevied an extensive calculation time reduction. 3) We developed a prototype supportive GUI tool to desinge the neural network system.