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搜索资源 - matlab神经网络30个案例分析源代码
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MATLAB神经网络30个案例分析相应matlab数据和源代码-MATLAB neural network analysis of 30 cases, the data and the corresponding source code matlab
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matlab神经网络30个案例分析源代码-matlab network
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matlab神经网络30个案例分析的源代码,给我们学习matlab的兄弟姐妹省下很多时间-matlab neural network analysis of 30 cases, the source code, to our brothers and sisters to learn matlab save a lot of time
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MATLAB神经网络30个案例分析源代码-MATLAB neural network analysis of 30 cases, the source code
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MATLAB神经网络30个案例分析的源代码程序,很有用-Neural network analysis of 30 case
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MATLAB神经网络30个案例分析,包括全文教程[PDF],还包括源代码(matlab)打包。-MATLAB neural network analysis of 30 cases, including full text tutorial [PDF], also includes the source code (matlab) packaging.
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MATLAB神经网络30个案例分析(源代码)-MATLAB Network Example
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《MATLAB神经网络30个案例分析》一书的源代码,共300个案例,含有相应例子及数据、数值算法源码
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MATLAB神经网络30个案例分析课本中的所有源代码,供学习者参考。-MATLAB neural network analysis of 30 cases all the source code in the textbooks for learners.
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MATLAB神经网络30个案例分析源代码-MATLAB neural network analysis of 30 cases the source code
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算法优化,包括粒子群算法,遗传算法以及多种神经网络(optimization algrithm,include PSO algrithm GA and other kind algrithm ,and many kinds of Nural network)
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matlab神经网络程序,一共有30个案例分析,对于提高神经网络水平有帮助,源代码(Matlab neural network program, a total of 30 case studies, for improving the level of neural networks helpful, source code)
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MATLAB智能算法30个案例分析 附源代码和数据(MATLAB intelligent algorithm 30 case analysis with source code and data)
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libsvm is very kind to use. I like it
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MATLAB神经网络30个案列,非常实用,是学习神经网络学习算法的好资源(MATLAB neural network 30 cases listed, very practical, learning neural network learning algorithm is a good resource)
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《matlab神经网络30个案例分析》源代码("Matlab neural network 30 case analysis" source code)
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matlab 神经网络 书本源代码 学习神经网络经典案例(matlab abjfdlkjklfjljfkjfkldsj)
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《MATLAB 神经网络43个案例分析》源代码&数据(The source code of the 43 case analysis of MATLAB Neural Network & Data)
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Matlab神经网络30个案例分析的源代码,帮助你从入门到精通基于matlab的神经网络建模(MATLAB Neural Network 30 case analysis source code, help you from the introduction to proficiency in MATLAB-based neural network modelling)
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神经网络案例,类容丰富,对即将参加美赛的小伙伴有帮助,附有代码哦(Previous contest papers, rich in class, will be helpful to the small partners who will participate in the contest.)
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