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Computer-aided decision-making System of Legal Provisions of Water Ecological Compensation System based on Character Recognition

机译:基于字符识别的计算机辅助决策制度水生态补偿系统法律规定

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Computer-aided decision-making system for legal provisions of water ecological compensation system based on the character recognition is designed in this paper. The information of the network is realized by the interaction between neurons. The storage of knowledge and information is a distributed physical relation between the interconnection of network components. The learning and recognition of the network are determined by the dynamic evolution of the connection weights of each core neuron, hence, this core characteristics are considered to then construct the efficient compensation system. The pattern recognition models are applied to analyze the performance. The data mining and computer vision models are combined to the construct the efficient model. The experimental results have proven the overall effectiveness.
机译:本文设计了基于字符识别的水生态补偿系统法律规定的计算机辅助决策制度。通过神经元之间的相互作用来实现网络的信息。知识和信息的存储是网络组件的互连之间的分布式物理关系。网络的学习和识别由每个核心神经元的连接权重的动态演变决定,因此,该核心特性被认为是构造有效补偿系统。模式识别模型适用于分析性能。数据挖掘和计算机视觉模型组合到构造有效模型。实验结果证明了整体有效性。

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