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一个用C#开发的神经网络算法，例程中用神经网络算法验证了异或输出，并用图表绘制出了训练误差曲线-A C# developer neural network algorithm, neural network algorithm validation routines using the XOR output, and graphically plots the training error curve
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Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga,
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Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga,
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使用C++实现了神经网络的异或功能，本段代码能够有效地对输入数据进行分类。-C++ realized using XOR function neural network, this section of code can effectively classify the input data.
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人工神经网络实现异或问题,VS 2015,C++,注释说明详尽-XOR problem based on Artificial neural network
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visual c# encog神经网络代码 能实现XOR规则引用encog.dll神经网络库-1.visual c# encog Neural network code can realize XOR rule 2.reference encog.dll neural network library
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