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这是一个解决XOR问题的基于BP神经网络的C语言程序 隐层中有一个节点-This is a solution to the problem XOR BP neural network-based C language program hidden layer is a node
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用c语言实现的bp神经网络实现异或功能，比较好用
-use the C Language bp neural network XOR functions, better quality
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用c语言实现bp神经网络，用bp神经网络解决了异或问题-Use C to construct BP neural network, use BP neural network to deal with the problem of xor
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用人工神经网络的bp的方法解决异或问题-Using artificial neural network bp means to solve the XOR problem
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自己写的一个简单的神经网络(BP)算法，用来解决异或（XOR)问题,初学神经网络的人可以下来看！-Wrote it myself a simple neural network (BP) algorithm, to solve the exclusive-OR (XOR) problem, learning neural network can look at the next!
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用C++写的一个简单的用BP神经网络进行异或运算的程序。-It s a simple C++ program, which uses BP neural network to realize XOR operation.
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基于c++实现bp神经网络实现异或功能 有助于了解神经网络-bp neural network xor
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用C++实现具有异或功能的BP神经网络，已验证可用
-C++ implementation using XOR function with the BP neural network, has been used to verify
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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 Pape
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BP神经网络解决异或问题的方法的c语言详细实现过程-BP neural network method to solve the XOR problem c language implementation process in detail
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基于aforge.net开源类库，BP神经网络是xor问题的C#算法实现，附带测试数据-Open-source library based on aforge.net, the BP neural network is xor problem c# algorithm, with test data
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rbf neural network algorithm in C, including the composition of input to output, examples using XOR.
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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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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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BP神经网络C++实现，异或学习为例。层数及每层节点数可设定。(BP neural network C++ implementation, XOR learning as an example. The number of layers and the number of nodes per layer can be set.)
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倒传递类神经网路实践，第一次使用C#，请前辈多多指导(Back propagation neural network practice, the first use of C#, please predecessors, a lot of guidance)
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