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Description: 模式识别作业-自编的BP神经网络判断异或的matlab源代码，每一步都有详细说明。并有详细的结果输出。-Pattern recognition operations- the BP neural network to determine self XOR the matlab source code, detailed description of each step. And a detailed results output.
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Size: 1024 |
Author: yumingwei |
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Description: BP 神经网路 分类 ，可以解决异或的分类-BP neural network classifier, the classification can solve XOR
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Size: 88064 |
Author: luocw138 |
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Description: 本程序主要实现了基于Bp神经网络来实现了异或逻辑，即基于BP神经网络的简单的分类技术。-Solving the Xor problem based on BP nerual net work.
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Size: 650240 |
Author: 彩云追月 |
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Description: 用BP网络实现单层的异或门.没有用函数，具体见算法.-BP network to achieve single XOR gate. Did not use the function, see the specific algorithm.
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Size: 1024 |
Author: 姬磊 |
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Description: BP网络实现传统分类,典型的如XOR AND OR逻辑。-BP network implement traditional classify.
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Size: 3297280 |
Author: 邵延飞 |
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Description: 一类新的神经进化算法——NEAT，可同步进化BP网络的拓扑结构和连接权值，避免了网络结构的选择和设计，此程序是用于解决经典的XOR分类问题-A new neuroevolution algorithm is called NEAT.NEAT can evolve the topologies as well as the connection weights of BP network. this matlab program solves the XOR problem.
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Size: 72704 |
Author: 赵昀 |
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Description: 自写的BP神经网络解决XOR问题的程序,保证能用。-A matlab program used to deal the XOR problem.
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Size: 23552 |
Author: louis |
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Description: 自写的BP神经网络解决XOR问题的程序,保证能用。-A matlab program used to deal the XOR problem.
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Size: 23552 |
Author: louis |
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Description: 前两个为人工智能程序，用C++编写，分别是动物判别程序及实现异或算法的bp程序。BLUETOOTH和F2M_BLLUETOOTH是单片机和蓝牙模块通信的程序。“数字示波器”为利用单片机开发的一个简单数字示波器程序。 已通过测试。
-The first two artificial intelligence program the written C++ animal discrimination procedures and the XOR algorithm bp procedures. BLUETOOTH and F2M_BLLUETOOTH is the communications program of the microcontroller and Bluetooth module. Digital oscilloscope for the use of the microcontroller development of a simple digital oscilloscope program. Has been tested.
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Size: 21504 |
Author: sacri |
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Description: BP神经网络解决的异或问题，，解决方法挺不错的可直接使用。
-BP neural network to solve the XOR problem, the solution of very good direct use.
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Size: 88064 |
Author: nu |
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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.
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Size: 31744 |
Author: nu |
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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.
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Size: 104448 |
Author: nu |
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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
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Size: 794624 |
Author: qschh |
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Description: matlab 神经网络的BP网络解决异或问题-BP network matlab neural network to solve XOR problem
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Size: 1024 |
Author: junexa |
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Description: 三道题，包括1：用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题:2：用奇阶互补法设计两带滤波器组(高、低通互补)，进而实现四带滤波器组 3：估计其功率谱-Three questions, including: 1 using multilayer perceptron ( MLP ) neural network and error back propagation ( BP ) algorithm to realize the XOR problem: 2: the odd order complementary method in the design of two-band filters ( complementary high, low pass ), so as to realize the four band filter group 3: to estimate the power spectrum
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Size: 106496 |
Author: 严菲 |
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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
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Size: 360448 |
Author: |
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Description: 基于BP神经网络的非线性分类，及运用其解决异或问题，并对Iris数据进行分类-Nonlinear classification based on BP neural network and the xor problem, and its appplication on the data of Iris.
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Size: 8192 |
Author: raimose |
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Description: 利用遗传算法解决BP网络异或问题/XOR的分类，-Genetic algorithm to solve the BP network the XOR problem
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Size: 2048 |
Author: 朱小小 |
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Description: 使用了神经网络中的BP算法，实现XOR操作-Using a neural network BP algorithm, XOR operation
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Size: 1024 |
Author: xuhrat |
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Description: 建立一个bp神经网络解决异或问题：神经网络的结构采用2:2:1的结构，可以改变隐层神经元的个数。-Create a bp neural network to solve XOR problem: the structure of the neural network structure using 2:2:1, you can change the number of hidden layer neurons.
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Size: 1024 |
Author: wyc |
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