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Description: 有关BP网络算法的源代码-the BP network algorithm source code
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Size: 2048 |
Author: 刘新华 |
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Description: 基于进化BP网络的含噪声点阵数字识别的源程序，希望对大家有所启示。-BP network based on the evolution of the digital matrix containing noise identification of the source, we hope to reveal.
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Size: 736256 |
Author: 黄善理 |
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Description: 一个用C++实现的bp网络算法程序，供大家参考-a C realized bp network algorithm, for your reference
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Size: 2048 |
Author: 江原 |
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Description: 一个关于神经网络的文档,主要讲了bp网络,对于学习神经网络的人有一定帮助-a neural network on the documents, the main speaker bp network, neural network learning of a certain help
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Size: 157696 |
Author: 武晓玥 |
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Description: BP神经网络，用vb写的，包含传统BP网络S型函数和传统BP网络ATN型函数-BP neural network, using vb written in the traditional BP network includes S-type function and the BP-function network ATN
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Size: 927744 |
Author: 何琦 |
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Description: 本文件为用C语言实现的可实现广义异或问题的bp神经网络算法。该问题是对标准异或问题的推广。在标准异或问题中，输入X1和X2取离散量-1或+1，在广义异或问题中，输入（X1,X2）可以在区间[-1，+1] X [-1, +1]内任意取值，而输出为Y=sign(x1,x2)，其中sign()为符号函数，在区间[-1，+1] X [-1, +1]内随机产生500个训练样本.本程序用标准BP网实现该分类问题.-this document for the use of C language of achieving broad differences or problems bp neural network algorithm. The problem is different to the standard or the promotion. Differences in standards or issue, the importation of X1 and X2 from discrete or a-1, in the broadest sense of differences or problems, the input (X1, X2) in the interval [-1, 1] X [1, 1] arbitrary value. while output Y = sign (x1, x2), in which the sign () to sign function in the interval [-1, 1] X [1, 1] with randomly generated 500 samples. the standard procedure used in the BP Network classification.
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Size: 52224 |
Author: 刘波 |
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Description: BP network example:this is an example of BP network-example : this is an example of BP network
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Size: 1024 |
Author: weiyum |
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Description: 本源码为压缩文件不需要解压密码。基于java的bp网络知识,识别数字-the source of compressed files need not extract passwords. Based on the java bp network knowledge, and identification number
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Size: 139264 |
Author: ll |
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Description:
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Size: 2048 |
Author: jack |
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Description: 用GA先求BP网络的权重，再用纯BP直接训练BP的混合GA－BP算法-GA first seek to use the weight of BP network, and then pure BP training BP directly mixed GA-BP algorithm
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Size: 1024 |
Author: QAP |
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Description: 采用神经网络中的BP网络，能对数据进行分类-Neural network BP network to classify the data
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Size: 1024 |
Author: 余洁 |
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Description: 由于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。程序需要调用gaot工具箱.-As a result of BP network weights optimization is a constrained optimization problems, and weights to be used real-coded, so the direct use of Matlab genetic algorithm toolbox. Posted the following code is for a 19 input variables, an output variable in case of non-linear regression designed, if applied to other situations, simply change your codec function. Procedures need to call gaot toolbox.
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Size: 4096 |
Author: |
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Description: bp神经网络的java实现源代码，可以根据具体问题做相应修改后运行-bp neural network to achieve the java source code, specific issues can be revised accordingly to run
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Size: 2048 |
Author: fred |
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Description: 人工神经元BP网络的C语言实现，BP网络在神经网络制中应用较为广泛-BP artificial neural network to achieve the C language, BP network in the neural network system for the application of more extensive
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Size: 140288 |
Author: 吕刚 |
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Description: 神经网络的几个例子，bp网络，有参考价值-A few examples of neural network, bp network, there is reference value
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Size: 2048 |
Author: 方科 |
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Description: BP network is a wide used network in Artificial Neural Network domain. This is a example of BP, applied with Matlab!
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Size: 2048 |
Author: 郭松 |
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Description: 基于BP神经网络的 参数自学习控制
（1）确定BP网络的结构，即确定输入层节点数M和隐含层节点数Q，并给出各层加权系数的初值 和 ，选定学习速率 和惯性系数 ，此时k=1；
（2）采样得到rin(k)和yout(k)，计算该时刻误差error(k)=rin(k)-yout(k)；
（3）计算神经网络NN各层神经元的输入、输出，NN输出层的输出即为PID控制器的三个可调参数 ， ， ；
（4）根据(3.34)计算PID控制器的输出u(k)；
（5）进行神经网络学习，在线调整加权系数 和 ，实现PID控制参数的自适应调整；
（6）置k=k+1，返回（1）。
-Based on the parameters of BP neural network self-learning control (1) to determine the structure of BP network, that is, determine the input layer nodes M and hidden layer nodes Q, and gives all levels of the initial value and the weighted coefficient, the selected learning rate and inertia coefficient, when k = 1 (2) sample has been rin (k) and the yout (k), calculate the moment of error error (k) = rin (k)-yout (k) (3) calculation of neural network NN all floors of the neurons in input and output, NN output layer is the output of PID controller for the three adjustable parameters,, (4) According to (3.34) Calculation of PID controller output u (k) (5) to carry out neural network learning, on-line adjustment of the weighted coefficient and, realize the adaptive PID control parameters adjust (6) purchase k = k+ 1, return (1).
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Size: 1024 |
Author: dake |
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Description: BP网络汽车分类matlab源码——模式识别-BP network matlab source car classification- Pattern Recognition
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Size: 1024 |
Author: 刘素京 |
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Description: 严格按照BP网络计算公式来设计的一个matlab程序,对BP网络进行了优化设计-In strict accordance with the BP network computing formula to design a matlab program, the optimized BP network design
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Size: 2048 |
Author: 赵 |
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Description: 利用matlab基于神经网络对规汽温控制系统进行了设计-temperature control system was designed based on BP network on matlab
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Size: 539648 |
Author: zsm |
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