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[AI-NN-PRBP_XOR

Description: 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.
Platform: | Size: 335872 | Author: 胡旸 | Hits:

[AI-NN-PRBP-cPP

Description: 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
Platform: | Size: 8192 | Author: 田成 | Hits:

[matlabABCNNTrain

Description: 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, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */ - 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, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
Platform: | Size: 5120 | Author: ehsan | Hits:

[AI-NN-PRBP

Description: 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
Platform: | Size: 38912 | Author: 绵绵柳 | Hits:

[Windows DevelopBSURCEEP

Description: BP神经网络的C语言实现,BP神经网络解决异或问题,HMMM的C语言实现,矢量量化的C语言实现,已通过测试。 -C language implementation of the BP neural network, BP neural network to solve the XOR problem, HMMM with the C language, C language implementation of vector quantization, has been tested.
Platform: | Size: 31744 | Author: nu | Hits:

[Windows DevelopBintroducetheP

Description: BP神经网络的C语言实现 BP神经网络解决异或问题 HMMM的C语言实现 矢量量化的C语言实现 ,已通过测试。 -C language implementation of BP neural network, BP neural network to solve the XOR problem HMMM C language realization of the vector quantization of the C language, has been tested.
Platform: | Size: 104448 | Author: nu | Hits:

[Windows DevelopBPR220066P

Description: BP神经网络的C语言实现 BP神经网络解决异或问题 cannny源代码 HMM的C语言实现 isodata K -BP Neural Network C language BP neural network solution the source HMM of XOR problem cannny of the C language to achieve isodata K
Platform: | Size: 794624 | Author: qschh | Hits:

[AI-NN-PRXORProblem

Description: 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
Platform: | Size: 360448 | Author: | Hits:

[CSharpBackprop_ANN_XOR

Description: 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
Platform: | Size: 947200 | Author: liuyibin | Hits:

[matlab61046606ABCNNTrain

Description: 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, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
Platform: | Size: 5120 | Author: eaclicker | Hits:

[matlab61046606ABCNNTrain

Description: 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, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */
Platform: | Size: 5120 | Author: eaclicker3 | Hits:

[AI-NN-PRBP_XOR

Description: 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
Platform: | Size: 2562048 | Author: 武文汉 | Hits:

[CSharpencog

Description: 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
Platform: | Size: 22190080 | Author: 李嘉琳 | Hits:
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