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Description: 人工神经网络BPN，人工神经网络BP算法源代码-Artificial neural network BPN, artificial neural network BP algorithm source code
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Size: 6144 |
Author: shanminyu |
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Description: bp 神经网络的一个小程序 可以识别数字
-bp neural network program to identify a small number of
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Size: 2128896 |
Author: zhaotian |
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Description: 神经网络算法源程序，如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、ADALINE，同时提供针对不同算法的演示源程序。-Neural network algorithm source code, such as SOM, HOPFIELD, CPN, BPN, BOLTZMAN, ART, ADALINE, while providing for different algorithm demo source code.
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Size: 273408 |
Author: 余永红 |
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Description: 用C写的神经网络,ADALINE,SOM,BAM,BPN,CPN,HOPFIELD,绝对经典、实用，测试OK！-Writing with C neural networks, ADALINE, SOM, BAM, BPN, CPN, HOPFIELD, an absolute classic, practical, tested OK!
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Size: 2048 |
Author: amy |
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Description: 用C写的神经网络,ADALINE,SOM,BAM,BPN,CPN,HOPFIELD,绝对经典、实用，测试OK！-Writing with C neural networks, ADALINE, SOM, BAM, BPN, CPN, HOPFIELD, an absolute classic, practical, tested OK!
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Size: 2048 |
Author: amy |
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Description: 用C写的神经网络,ADALINE,SOM,BAM,BPN,CPN,HOPFIELD,绝对经典、实用，测试OK！-Writing with C neural networks, ADALINE, SOM, BAM, BPN, CPN, HOPFIELD, an absolute classic, practical, tested OK!
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Size: 3072 |
Author: amy |
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Description: 用C写的神经网络,ADALINE,SOM,BAM,BPN,CPN,HOPFIELD,绝对经典、实用，测试OK！-Writing with C neural networks, ADALINE, SOM, BAM, BPN, CPN, HOPFIELD, an absolute classic, practical, tested OK!
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Size: 3072 |
Author: amy |
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Description: 用C写的神经网络,ADALINE,SOM,BAM,BPN,CPN,HOPFIELD,绝对经典、实用，测试OK！-Writing with C neural networks, ADALINE, SOM, BAM, BPN, CPN, HOPFIELD, an absolute classic, practical, tested OK!
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Size: 2048 |
Author: amy |
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Description: C++神經網絡，c++，BP网络模型，适用于多对一-C++ Neural Network, c++, BP network model, applicable to many-to-one
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Size: 4096 |
Author: souriki |
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Description: Back propagation algorithtm
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Size: 32768 |
Author: waldir |
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Description: 神经网络的一些算法代码，包括ADALINE，ART1，BAM，BOLTZMAN，BPN，HOPFIELD等 -Some of neural network algorithm code, including ADALINE, ART1, BAM, BOLTZMAN, BPN, HOPFIELD, etc.
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Size: 152576 |
Author: anbaiyi |
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Description: BPN 網絡演算这是用VCwin32编写的用遗传算法优化神经网络的程序-Error Back-propagation Training Algorithm
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Size: 109568 |
Author: eddinn |
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Description: 经典的BPN人工神经网络例子源码 很不错哦！喜欢的话就下载下来
-The classic examples of artificial neural network BPN very good source Oh! Like what is going on the downloaded
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Size: 32768 |
Author: fqdao |
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Description: 多个神经网络算法C程序源代码,如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、ADALINE，同时提供针对不同算法的演示源程序-Number of neural network algorithm C source code, such as SOM, HOPFIELD, CPN, BPN, BOLTZMAN, ART, ADALINE, while providing source code for the demonstration of different algorithms
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Size: 109568 |
Author: syc |
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Description: ECG信号处理获得各种features，包括P和T波的参数，该程序使用的数据来自mit database 如果要执行该程序，要修改ECG 信号的源文件目录-ECG signal processing to obtain a variety of features, including the P and T-wave parameters, the program uses data from mit database
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Size: 3828736 |
Author: Jun Cheng |
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Description: code for pid controller using bpn -code for pid controller using bpn nn
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Size: 1024 |
Author: Ashish Panpalia |
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Description: 神经网络算法源程序，如SOM、HOPFIELD、CPN、BPN、BOLTZMAN、ART、ADALINE，同时提供针对不同算法的演示源程序。-Neural network algorithm source code, such as SOM, HOPFIELD, CPN, BPN, BOLTZMAN, ART, ADALINE, while providing source code for the demonstration of different algorithms.
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Size: 842752 |
Author: xbox |
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Description: 别人的一个BP网络程序，大家可以下载学习一下-Others of a BP network program, you can download to learn about
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Size: 235520 |
Author: 李杰 |
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Description: BP神经网络算法分析，对其算法的具体分析（初始、训练）都详细的分析-BP Neural Network Algorithm
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Size: 5120 |
Author: bly |
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Description: 本文 通 过 对己有模型和锅炉运行现状的分析，尝试用BP神经网络的方法分析讨论锅炉效率在线计算和运行优化等问题。研究工作主要包括:基于BP神经网络进行煤的工业分析结果和元素分析结果之间的转换 考虑到煤在锅炉中燃烧时有固体未燃碳存在，给出了煤组成成分的实际结果的概念 详细讨论了过量空气系数的两种定义及特点，说明运行中用烟气分析结果确定过量空气系数时，对测得的湿烟气含氧量进行修正的必要性和方法:以反平衡法为基础给出了改进的锅炉效率在线计算模型 以效率在线计算为基础，尝试运用神经网络方法确定锅炉运行中的最佳过量空气系数。-Ac co rdi ngt ot hea nalysiso fa vailablem odelsa ndb oilerru nning
conditions, the problems in relation to the on-line calculation for
boiler efficiency and optimization operation can be discussed with
BPn euraln etworki nt histh esis.T her esearchw orkm ainlyc onclude:
The transformation between the industrial analysis results and the
element analysis results of coals based on neural network is discussed.
The concept of the actual results of coal ingredients is put forward
because there are some solid carbon not burned when coals burn in
boiler furnace. The two definitions of the excess air coefficient is
discusses in details. The necessity and methods of modifying the
oxygen content in damp gas are explained when the excess air
coefficient are determined with the results of gas analysis. The
modified on-line calculation model for the boiler efficiency on the
basis of the negative equation way is developed. Neural network
methods to determine the optimum excess air coef
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Size: 77824 |
Author: 刘伟 |
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