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 Platform: |
Size: 927744 |
Author:何琦 |
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Description: c语言编写的基于BP神经网络的对图像车辆分类，其中图像特征提取是用图像不变矩，给出了图像不变矩的样本数据和验证数据。-based BP neural network image of the vehicle classification, Feature Extraction which is the same image moments, the image is unchanged Moments sample data and test data. Platform: |
Size: 1101824 |
Author:adder |
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Description: 小波神经网络程序，收敛性比BP神经网络好，可用于分类，函数逼近等-wavelet neural network program, convergence than BP neural network, and can be used for classification, function approximation etc. Platform: |
Size: 6144 |
Author:师花 |
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Description: BP神经网路的改进算法
delphi实现，帮帮忙，怎么大家都做过了呢？-BP neural network to achieve improved algorithm delphi, help out how we all done? Platform: |
Size: 434176 |
Author: |
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Description: 模式识别常用模型和算法,包括BP神经网络的C语言实现，BP神经网络解决异或问题，HMM的C语言实现-common model and pattern recognition algorithms including Neural Network C language, BP neural network solutions differences or problems, HMM C language, etc.! ! Platform: |
Size: 104448 |
Author:王彬 |
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Description: bp神经网络c语言实现 本程序实现基本的bp神经网络算法-bp neural network C Language Program of the basic neural network algorithm bp Platform: |
Size: 29696 |
Author:young |
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Description: BP算法神经网络，是用C++写的。功能强大。
有技术含量的。-BP neural network algorithm, is written in C. Powerful. A technical content. Platform: |
Size: 4096 |
Author:刘东利 |
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Description: BP神经网络算法的matlab代码，本程序根据训练好的网络文件ANN.mat预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比图。希望有用-BP neural network algorithm Matlab code, the procedures under the trained network file ANN.mat anticipating new data files, be mean square error, paint and forecast data and the original data in contrast to Fig. Hope useful Platform: |
Size: 15360 |
Author:杨力 |
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Description: 使用bp神经网络范例。bp神经网络可以用于模式识别等。我现在做得就是使用bp神经网络进行单个数字语音识别。希望对大家有用-use bp neural network model. Bp neural network can be used for pattern recognition. I now have done is to use a neural network bp single digital voice recognition. We hope to useful Platform: |
Size: 3072 |
Author:沈媛媛 |
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Description: 这个程序是标准的BP神经网络，可以调整输入、输出和隐曾的维数。-this procedure is the standard BP neural network, can be adjusted input, output and has the implicit dimension. Platform: |
Size: 3072 |
Author:周润发 |
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Description: 图象识别——基于BP神经网络的图像感兴趣区自动检测技术-Image Recognition- Based on the BP neural network image technology automatically detects the regions of interest Platform: |
Size: 634880 |
Author:xxxx |
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Description: 几种前向神经网络的应用实例，用matlab编的源代码-Several prior to the application of neural network, using matlab made the source code Platform: |
Size: 6144 |
Author:xinrui |
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Description: 非常优秀的文字识别程序，基于bp神经网络的，准确率高达99％，下载后修改有什么改进最好能公开给大家学习。-Excellent character recognition process, based on bp neural network, the accuracy rate as high as 99 percent, after downloading any modifications to improve the best we can be open to learning. Platform: |
Size: 45056 |
Author:啊啊 |
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Description: 神经网络bp算法源代码，各个部分的包括函数逼近，函数定义等的功能-Bp neural network algorithm source code, the various parts, including function approximation, function definition function Platform: |
Size: 16384 |
Author:ye |
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Description: 程序名：ga_bp_predict.cpp
描述： 采用GA优化的BP神经网络程序，用于单因素时间
序列的预测,采用了单步与多步相结合预测
说明： 采用GA(浮点编码)优化NN的初始权值W[j][i],V[k][j]，然后再采用BP算法
优化权值-Program name: ga_bp_predict.cpp Description: The GA-optimized BP neural network procedure for single-factor time series prediction using the single-step and multi-step prediction combining Description: using GA (floating point coding) to optimize the initial NN weights W [j] [i], V [k] [j], then BP algorithm to optimize the use of weights Platform: |
Size: 6144 |
Author:fk774 |
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Description: 每一个训练范例在网络中经过两遍传递计算：一遍向前传播计算，从输入层开始，传递各层并经过处理后，产生一个输出，并得到一个该实际输出和所所需输出之差的差错矢量；一遍向反向传播计算，从输出层至输入层，利用差错矢量对权值进行逐层修改。BP算法有很强的数学基础，戏剧性地扩展了神经网络的使用范围，产生了许多应用成功的实例，对神经网络研究的再次兴起过很大作用。
-Each training example in the network passing through the calculation twice: once to move the spread of computing, from the beginning of input layer, transmission floors and processed to produce an output, and a the actual output and the difference between the desired output error vector again to reverse the spread of computing, from the output layer to the input layer, using error vector values of the right to amend the layers. BP algorithm has a strong mathematical foundation, dramatically expanded the use of neural networks, resulting in a number of successful examples of application of neural network research have a significant role in the rise once again. Platform: |
Size: 1024 |
Author:军军 |
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