Abstract
The paper first expounds the principle of synergetic pattern recognition. Then it discusses the implementation techniques of the pathology image classification system based on the principle in detail. What's more, to resolve the problem that the synergetic neural network is weak in recognizing new test samples, it presents the information superposition self-learning algorithm based on a genetic algorithm. The experimental results prove the effectivity of the algorithm.
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