Description: 7类别的 Adaline 神经网络的模式识别程序, 可自行变换或者定义要分类的目标和向量的长度-7 types of Adaline neural network pattern recognition procedures, the definition of self-transformation or to the classification of the object and the length of vector Platform: |
Size: 1114112 |
Author:李成华 |
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Description: The Adaline is essentially a single-layer backpropagation network. It is trained on a pattern recognition task, where the aim is to classify a bitmap representation of the digits 0-9 into the corresponding classes. Due to the limited capabilities of the Adaline, the network only recognizes the exact training patterns. When the application is ported into the multi-layer backpropagation network, a remarkable degree of fault-tolerance can be achieved.
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Size: 3072 |
Author:ali |
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Description: 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 Platform: |
Size: 40960 |
Author:glm |
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