作业帮英语翻译Neural netsNeural networks employ a parallel processing
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英语翻译
Neural nets
Neural networks employ a parallel processing approach rather than the procedural，or linear，design of conventional systems.The parallel design makes neural networks particularly adept at analyzing problems with many variables.By simultaneously considering numerous factors,neural networks map a pattern，which encompasses acceptable solution to a given problem.
The model for the processing method on which neural networks are based is the human brain.Neural networks mimic,in a very crude way,some functions of the brain.
Virtually all commercial neural network applications are restricted to the research laboratory for now.The full potential of neural networks will not be tapped until parallel processor systems become more affordable.
Most commercial products available are based on the Clanguage and require some familiarity with Cprogrammong as well as neural networking theory.
Neural nets
Neural networks employ a parallel processing approach rather than the procedural，or linear，design of conventional systems.The parallel design makes neural networks particularly adept at analyzing problems with many variables.By simultaneously considering numerous factors,neural networks map a pattern，which encompasses acceptable solution to a given problem.
The model for the processing method on which neural networks are based is the human brain.Neural networks mimic,in a very crude way,some functions of the brain.
Virtually all commercial neural network applications are restricted to the research laboratory for now.The full potential of neural networks will not be tapped until parallel processor systems become more affordable.
Most commercial products available are based on the Clanguage and require some familiarity with Cprogrammong as well as neural networking theory.
神经网络
神经网络使用并行处理的方法而不是传统系统的程序性或线性的设计.并行设计使神经网络更加擅长分析多变量的问题.通过同时思考多种因素,神经网络映射了一个包括对给定问题的可接受的解决方案的模式.
神经网络使用的是基于人脑的处理方法模型.神经网络以非常原始的方式模仿人脑的一些功能.
目前几乎所有商业化的神经网络应用都被限制在科研实验室里.在并行处理器系统的价格变得可以接受之前,神经网络的全部潜力是无法得到充分利用的.
大多数可用的商业化产品是基于C语言开发的,所以需要熟悉C编程和神经网络理论.
神经网络使用并行处理的方法而不是传统系统的程序性或线性的设计.并行设计使神经网络更加擅长分析多变量的问题.通过同时思考多种因素,神经网络映射了一个包括对给定问题的可接受的解决方案的模式.
神经网络使用的是基于人脑的处理方法模型.神经网络以非常原始的方式模仿人脑的一些功能.
目前几乎所有商业化的神经网络应用都被限制在科研实验室里.在并行处理器系统的价格变得可以接受之前,神经网络的全部潜力是无法得到充分利用的.
大多数可用的商业化产品是基于C语言开发的,所以需要熟悉C编程和神经网络理论.
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