Bill Money Classification for Intelligent OA Systems Using Evolutional Neural Networks

在本计画中，我们提出了一种新的方法来实现票据货币的智能模式分类，以加强办公自动化的基础上，神经网络与进化机制。本计画旨在综合一个智慧型模式分类器系统。为了完成本课题的研究，我们采用了以下方法对这些智能控制系统进行综合：（1）神经网络的学习能力我们利用通信信道的信息测度，建立了神经网络的学习能力公式。(2)为了提高考虑（1）的神经网络的学习能力，我们引入了遗传算法并找到学习曲线的全局最小值。(3)用神经网络构建图像理解为了实现智能化，我们不仅使用数字数据，而且还使用图像信息处理作为多媒体数据处理。(4)神经元分类器的硬件实现为了提高分类速度，降低分类成本，我们实现了纸币分类的神经元硬件。

In this project, we have proposed a new approach to realize the intelligent pattern classification of bill money to enforce the office automation based on neural networks with evolution mechanism. The present project is to synthesize an intelligent pattern classifier system. To complete the project study, we have adopted the following approach to synthesize these intelligent control systems :(1) Learning Ability of the Neural networkWe have formulated the learning ability of neural networks by using information measure of the communication channel.(2) Emergence of Evolution Mechanism by Genetic AlgorithmsTo improve the learning ability of neural networks considered (1), we have introduced the genetic algorithms and find the global minimum of the learning curves.(3) Construction of Image Understanding by Neural NetworksTo realize the intelligence we have used not only numerical data but also image information processing as a multi-media data processing.(4) Hardware Implementation of Neuro-ClassifierIn order to speed up the classification and make the cost lower, we have implemented the neuro- hardware for bill money classification.