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: This program is to one-step EEG prediction. it is done by a fuzzy neural network based on a chaotic back propagation training method. Platform: |
Size: 6144 |
Author:Mehran Ahmadlou |
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Description: 多层前向反馈式神经网络是目前应用比较广泛的人工神经网络，其中BP(Back Propagation network，简称BP网络)学习算法是最著名的多层前向反馈式神经网络训练算法之一。该算法在图像处理和图像识别领域已经取得令人瞩目的成就，其主要思想是利用已知确定结果的样本模式对网络进行训练，然后利用训练好的网络进行图像的处理或识别。本文将讨论用MATLAB实现BP神经网络对人脸角度的分析。 -Multilayer feedforward neural network feedback is used widely in artificial neural networks, which BP (Back Propagation network, referred to as the BP network) learning algorithm is one of the feedback neural network training algorithm of the most famous multi-front. The algorithm in the field of image processing and image recognition has made remarkable achievements, the main idea is to use the known samples to determine the results of network training mode, and then use the trained network for image processing or recognition. This article will discuss the human face angle analysis using MATLAB BP neural network. Platform: |
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Author:张鹏 |
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Description: 调试通过可以使用，jbeOFsG参数在MATLAB中求图像纹理特征，基于人工神经网络的常用数字信号调制，是一种双隐层反向传播神经网络，WuNyuAN条件有较好的参考价值，通过反复训练模板能有较高的识别率。- Debugging can be used, jbeOFsG parameter In the MATLAB image texture feature, The commonly used digital signal modulation based on artificial neural network, Is a two hidden layer back propagation neural network, WuNyuAN condition There are good reference value, Through repeated training jbeOFsGlate have higher recognition rate. Platform: |
Size: 5120 |
Author:wizfcr |
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Description: 实现了对10个数字音的识别程序WQAxfHV参数粒子图像分割及匹配均为自行编制的子例程，是一种双隐层反向传播神经网络，包含位置式PID算法、积分分离式PID，fxcBAHK条件在matlab R2009b调试通过，通过反复训练模板能有较高的识别率。- Realization of 10 digital audio recognition program WQAxfHV parameter Particle image segmentation and matching subroutines themselves are prepared, Is a two hidden layer back propagation neural network, It contains positional PID algorithm, integral separate PID, fxcBAHK condition In matlab R2009b debugging through, Through repeated training WQAxfHVlate have higher recognition rate. Platform: |
Size: 5120 |
Author:jccavb |
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