工神经网络（Artificial Neural Network）又称连接机模型，是在现代神经学、生物学、心理学等学科研究的基础上产生的，它反映了生物神经系统处理外界事物的基本过程，是在模拟人脑神经组织的基础上发展起来的计算系统，是由大量处理单元通过广泛互联而构成的网络体系，它具有生物神经系统的基本特征，在一定程度上反映了人脑功能的若干反映，是对生物系统的某种模拟，具有大规模并行、分布式处理、自组织、自学习等优点，被广泛应用于语音分析、图像识别、数字水印、计算机视觉等很多领域，取得了许多突出的成果。最近由于人工神经网络的快速发展，它已经成为模式识别的强有力的工具。神经网络的运用展开了新的领域，解决其它模式识别不能解决的问题，其分类功能特别适合于模式识别与分类的应用。多层前向BP网络是目前应用最多的一种神经网络形式-Artificial neural network (Artificial Neural Network) connection, also known as machine model, is based on interdisciplinary research in modern neurology, biology, psychology, etc. produced on, it reflects the fundamental processes of biological neural processing of external things, is in the simulation developed on the basis of human brain tissue computing system is constituted by a large number of processing units interconnected through an extensive network system, it has the basic characteristics of biological neural systems, to a certain extent reflects the number of reflecting the human brain function is simulation of certain biological systems, with massively parallel, distributed processing, self-organizing, self-learning, etc., are widely used in many areas of speech analysis, image recognition, digital watermarking, computer vision, and achieved many outstanding achievements . Recently due to the rapid development of artificial neural networks, it has become a powerful tool fo