Description: 使用bp(反向传播算法)实现分类问题,并观察分类过程中误差的变化。-Use bp (back-propagation algorithm) to achieve the classification and observe the changes in classification process in the error. Platform: |
Size: 30720 |
Author:王晶 |
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Description: 一个神经网络计算的库,实现几个通用神经网络体系和训练方法,自识别图,弹性网络等.like Back Propagation, Kohonen Self-Organizing Map, Elastic Network, Delta Rule Learning, and Perceptron Learning.-In this article, a C# library for neural network computations is described. The library implements several popular neural network architectures and their training algorithms, like Back Propagation, Kohonen Self-Organizing Map, Elastic Network, Delta Rule Learning, and Perceptron Learning. The usage of the library is demonstrated on several samples:
• Classification (one-layer neural network trained with perceptron learning algorithms)
• Approximation (multi-layer neural network trained with back propagation learning algorithm)
• Time Series Prediction (multi-layer neural network trained with back propagation learning algorithm)
• Color Clusterization (Kohonen Self-Organizing Map)
• Traveling Salesman Problem (Elastic Network). Platform: |
Size: 242688 |
Author:calford |
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Description: matlab代码,实现神经网络中的BP算法-误差反向传播算法,用于分类,拟合和非线性系统建模等多种问题上。-matlab code that implements the BP neural network algorithms- back propagation algorithm for classification, fitting and nonlinear systems modeling and other issues. Platform: |
Size: 2048 |
Author:xiaoli |
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