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实验一：基于LMS算法的“苹果-橘子”分类问题
实验二：基于LMS算法的T-G-F字符识别问题
通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现
2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告
-Experiment 1: Based on LMS Algorithm Apple- Orange classification issues
Experiment two: TGF-based character recognition problem LMS algorithm
Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem.
1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab
2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report
实验二：基于LMS算法的T-G-F字符识别问题
通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现
2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告
-Experiment 1: Based on LMS Algorithm Apple- Orange classification issues
Experiment two: TGF-based character recognition problem LMS algorithm
Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem.
1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab
2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report
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