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The principle and application of synergetic pattern recognition

机译:协同模式识别的原理与应用

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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.
机译:本文首先阐述了协同模式识别的原理。然后根据该原理详细讨论了病理图像分类系统的实现技术。此外,为解决协同神经网络在识别新测试样本方面的薄弱问题,提出了一种基于遗传算法的信息叠加自学习算法。实验结果证明了该算法的有效性。

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