科技类文章的翻译

来源：百度知道 编辑：UC知道 时间：2024/05/03 12:44:09
近年来，人工神经网络正向模拟人类认知的道路上更加深入发展，它与模糊系统、遗传算法、进化机制等结合，形成计算智能，成为人工智能的一个重要方向，将在实际应用中得到很大的发展。将MATLAB神经网络工具箱函数应用于人工神经网络的研究，为人工神经网络的理论研究开辟了强有力的途径。人工神经网络与其它其相结合，将推动人工智能和信息处理技术不断发展。
本文主要介绍了BP、RBP神经网络和自组织神经网络三种神经网络的MATLAB实现。本文对神经网络的发展和应用以及MATLAB语言的特点作了简要的介绍；详细论述并应用MATLAB语言来实现BP、RBF和自组织神经网络的仿真；并且阐述了此三种神经网络各自的特点，比较了其性能。

In recent years, artificial neural network simulation of human cognitive forward on the road to a more in-depth development, and fuzzy systems, genetic algorithm, the mechanism of evolution, a computational intelligence, to become an important direction of artificial intelligence, will be in practical application Great development. MATLAB toolbox neural network will be used in artificial neural network function of research, artificial neural network for the theoretical study opened up a strong way. Artificial neural network and its other combination, will promote artificial intelligence and information processing technology development.
This paper presents the BP, RBP neural networks and self-organization neural network of three neural networks MATLAB achieve. This paper on the development of neural networks and applications, and MATLAB language features a brief introduction; discussed in detail and application of MATLAB language to achieve BP, RBF neural networks and self-org