文件名称:Matlab_hanshu
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:人工神经网络中的BP网络模型在函数逼近、模式识别等领域得到了广泛的应用,但利用神经网络
解决实际问题时,经常涉及到大量的数值计算问题,而运用计算机高级语言编程对神经网络BP模型进行仿真和
辅助设计是件十分麻烦的事情,为了解决这个矛盾,Matlab工具箱中专fq编制了大量有关设计BP网络模型的工
具函数 本文分析了Matlab软件包中人工神经网络工具箱的有关BP网络的工具函数,并给出了部分重要工具函
数的实际应用.-: Artificial Neural Networks in the BP network model in function approximation, pattern recognition and other fields a wide range of applications, but the use of neural networks to solve practical problems, often involving a large number of numerical problems, the use of high-level computer programming language to the neural network BP model is a piece-aided design simulation and a very troublesome thing, in order to solve this contradiction, Matlab toolbox secondary fq compiled a large number of BP network model of the design of utility functions This paper analyzes the Matlab software package on artificial neural network toolbox BP network, utility functions, and gives some important tools for the practical application of the function.
解决实际问题时,经常涉及到大量的数值计算问题,而运用计算机高级语言编程对神经网络BP模型进行仿真和
辅助设计是件十分麻烦的事情,为了解决这个矛盾,Matlab工具箱中专fq编制了大量有关设计BP网络模型的工
具函数 本文分析了Matlab软件包中人工神经网络工具箱的有关BP网络的工具函数,并给出了部分重要工具函
数的实际应用.-: Artificial Neural Networks in the BP network model in function approximation, pattern recognition and other fields a wide range of applications, but the use of neural networks to solve practical problems, often involving a large number of numerical problems, the use of high-level computer programming language to the neural network BP model is a piece-aided design simulation and a very troublesome thing, in order to solve this contradiction, Matlab toolbox secondary fq compiled a large number of BP network model of the design of utility functions This paper analyzes the Matlab software package on artificial neural network toolbox BP network, utility functions, and gives some important tools for the practical application of the function.
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