In this dissertation, enlightened by the idea of metasynthesis, an Integration method is proposed to combine the human intelligence with the capability of computers. We first introduce the Competitive Supervised Learning algorithm with sub-classes. Then we implement a closed loop in the integrated neural network so that it becomes a dynamic system similar to those in cybernetics. The dissertation analyzes its dynamic property and gives the corresponding supervised learning algorithm under the proposed stable conditions. The experiments on the totally unconstrained handwritten numeral verified its superiority. On the other hand, this dissertation also gives the work on moment invariants and differential filters, respectively.
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