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人工神经网络感知器的误差学习算法，实现单层感知器的学习算法-Artificial neural network-aware device error learning algorithm, to achieve single-layer perceptron learning algorithm
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神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
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神经网络感知器的实现，二维平面单层感知器-Perceptron neural network implementation of planar single-layer perceptron
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This my first implementation of gradient descent algorithm in which I will write about the evolution of neural networks. I will start with the most simple network of all, the Single Layer Perceptron, and work through different architectures and learn
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MATLAB神经网络原理与实例精解中第4章 单层感知器的算法-MATLAB neural network theory and examples of the fourth chapter in the single-layer perceptron algorithm
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