Description: 这是我参考了n(n>=5,^_^)篇BP神经网优化方法的论文写出的BP神经网源代码，使用了批处理训练方法，带动量项、学习速率的自适应调整、仅对学习精度没有达到指定要求的模式训练，并且训练精度逐步加大，通过这种方法，极大地加快了训练速度；另外，对于0模式和1模式数目相差很大(5-6倍)都能达到很高的学习精度。-This is my reference to the n (NGT; Chapter 5 = ,^_^) BP neural network optimization method to write the thesis of BP neural network source code, use the batch method of training, the volume driven, adaptive learning rate adjustment, not only learning accuracy requirements specified the model training, and training gradually increased accuracy, this method has greatly accelerated the pace of training; In addition, the 0 mode and a model number vary greatly (5-6 times) to achieve high accuracy of the study. Platform: |
Size: 4096 |
Author:王宏志 |
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Description: neural network,神经网络的BP算法的代码，保证能运行，Back Propagation-neural network, the BP neural network algorithm code, the guarantee of operation, Back Propagation Platform: |
Size: 3072 |
Author:young |
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Description: bp神经网络算法是解决最优化问题的先进算法之一，本论文讨论了神经网络中使用最为广泛的前馈神经网络。其网络权值学习算法中影响最大的就是误差反向传播算法（back-propagation简称BP算法）。BP算法存在局部极小点，收敛速度慢等缺点。基于优化理论的Levenberg-Marquardt算法忽略了二阶项。该文讨论当误差不为零或者不为线性函数即二阶项S(W)不能忽略时的Hesse矩阵的近似计算，进而训练网络。-bp neural network algorithm to solve optimization problems, one of the advanced algorithm, the paper discusses the neural network in the most widely used feed-forward neural network. Its network weights learning algorithm in the greatest impact is the error back-propagation algorithm (back-propagation algorithm referred to as BP). BP algorithm for the existence of local minimum points, such as the shortcomings of slow convergence. Optimization theory based on the Levenberg-Marquardt algorithm ignores the second-order item. In this paper, the discussion when the error is not zero or not that is second-order linear function of S (W) can not be ignored when the Hesse matrix of approximate calculation, and then training the network. Platform: |
Size: 19456 |
Author:刘慧 |
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Description: 一个BP神经网络训练的源代码
其中算法部分并未用到MATLAB中的训练函数，可以加深对BP的理解-A BP neural network training algorithm in which the source code was not used in the training function in MATLAB, you can deepen their understanding of BP Platform: |
Size: 7168 |
Author:张媛 |
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Description: matlab开发的BP神经网络模型，经过调试，运行正常！-matlab development of BP neural network model, after commissioning, operating normally! Platform: |
Size: 5120 |
Author:梁子旭 |
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Description: BP神经网络用于函数拟合与模式识别的Matlab示例程序,说明很详细,并且代码可以直接拿来用-BP neural network for function fitting and pattern recognition procedures Matlab examples to illustrate in great detail, and the code can be directly used by Platform: |
Size: 5120 |
Author:tangsp |
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Description: BP神经网络PID控制在吹塑机系统中的应用BP neural network PID control in the blow molding machine system-BP neural network PID control in the blow molding machine system Platform: |
Size: 156672 |
Author:free1828 |
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Description: BP神经网络的数据分类，语言特征信号分类。选取了民歌、古筝、摇滚和流行四类不同音乐，用BP神经网络实现有效分类。-BP neural network data classification, language characteristic signal classification. Selected folk songs, zither, four different types of rock and pop music, with BP neural network for effective classification. Platform: |
Size: 379904 |
Author:lucy |
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Description: 神经网络的结构选4-5-3，学习速率为0.28，惯性系数为0.04，加权系数初始值取-0.5-0.5上的随机数。-4-5-3 neural network structure selection, the learning rate is 0.28, the inertia coefficient is 0.04, the initial value of weighting factor to take-0.5-0.5 the random number. Platform: |
Size: 1024 |
Author:王越 |
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Description: BP神经网络 乳腺癌诊断
自动选择最佳神经元个数-BP neural network automatically select the best breast cancer diagnosis the number of neurons Platform: |
Size: 2048 |
Author:余治甫 |
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Description: 本文在了解神经元和BP算法的基础上，使用MATLAB软件作为开发工具建立BP神经网络模型，重点研究了BP神经网络结构设计的原理和方法，包括影响BP神经网络训练能力的因素，以及这些因素如何影响BP神经网络的性能；改变不同参量，对比实验数据，总结各个参量对BP神经网络的影响。从而寻找最佳的BP神经网络模型。本文还对一些其他的神经网络算法进行了总结和介绍。- In this paper , based on understanding of the neuronal model and learning BP algorithm. Making use of Matlab software development tools as the establishment of a three-tier BP neural network model used in the project.Morever, Focus on the BP neural network architecture design principles and methods including the impact of BP neural network training ability of factors, and how these factors affect BP neural network performance changes in different parameters, as compared with the experimental data, summing up the various parameters of BP neural network effects. In order to find the best BP neural network model.This paper also introduce a number of other neural network structure and Algorithm. Platform: |
Size: 387072 |
Author:张聪 |
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Description: 该代码为基于BP神经网络的预测算法。对于复杂的非线性系统，难以用数学方法准确建模，在这种情况下，可以建立BP神经网络表达这些非线性系统。(The code is a prediction algorithm based on BP neural network. It is difficult for complex nonlinear systems to be modeled accurately by mathematical methods. In this case, BP neural networks can be established to express these nonlinear systems.) Platform: |
Size: 47104 |
Author:不举高高么 |
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