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: 主要研究了超声回波信号的小波分析算法和BP神经网络算法。在超声检测中，作为检测基本数据的脉冲反射回波信号受到电子噪声和结构噪声的干扰，-major study of the ultrasonic echo signal wavelet analysis algorithm and BP neural network algorithm. In ultrasonic testing, to detect the basic data pulse echo signals reflected by the structure of electronic noise and noise interference, Platform: |
Size: 990208 |
Author:琼 |
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Description: 本文分析小波神经网络的特点重点研究在电力负荷预测中连续小波神经网络与BP神经网络相比具有的优缺点对认识和应用小波神经网络具有重要意义算例表明在网络结构相同的情况下连续小波神经网络比BP神经网络具有更高的预测精度-wavelet analysis of this neural network research focused on the characteristics of the power load forecasting continuous wavelet neural network and BP Neural networks have their advantages and disadvantages compared to the understanding and application of wavelet neural networks is of great significance example shows the network structure with the continuous wavelet neural network than BP neural network has a higher accuracy of prediction Platform: |
Size: 55296 |
Author:bluebowl |
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Description: 小波神经网络程序，收敛性比BP神经网络好，可以避免局部最优,可用于分类，函数逼近等-Wavelet neural network procedures, convergence than the BP neural network, and can avoid local optimum, can be used for classification, function approximation, etc. Platform: |
Size: 5120 |
Author:liyi |
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Description: 讨论了BP 小波神经网络在训练过程中减小误差函数时最优方向的确定和自适应调整学习率的方法。
首先论证了小波神经网络的数学基础,然后讨论了BP 小波神经网络的学习过程,重点讨论了减小误差函数最优方
向的确定方法,即如何保证步长方向与负梯度方向一致,由此得出了自适应调整学习率的简便方法。该方法具有
普遍性,有广泛的应用价值。仿真结果表明,采用最优梯度下降方向可以大幅度提高BP 小波神经网络的学习速
度。-Discussed BP wavelet neural network in the training process of reducing the error function to determine the optimal direction and adaptive learning rate adjustment method. First of all, demonstrated that the wavelet neural network mathematical basis, and then discussed the BP wavelet neural network learning process focused on reducing the error function to determine the optimal direction of approach, namely how to ensure that the direction of step with the negative gradient direction, which may out the adaptive learning rate adjustment easy way. The method is universal, has a wide range of application value. Simulation results show that the optimal direction of gradient descent can dramatically improve BP wavelet neural network learning speed. Platform: |
Size: 245760 |
Author:guole |
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Description: 根据小波分析和神经网络原理，参考网上的一些免费源码，以及自己对Bp神经网络的理解，使用飞狐的函数和数组书写-According to wavelet analysis and neural network theory, a number of free online reference source, as well as their understanding of Bp neural network, using a function of flying fox and the array of writing Platform: |
Size: 1024 |
Author:邱琳强 |
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Description: nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库，其中的函数在MATLAB环境下均可独立运行，并可打包成DLL组件，这些组件作为独立的COM对象，可以直接被Visual Basic、Visual C++ 、C++ Builder或其它支持COM的高级语言所引用。本工具包中包含的算法包括BP算法中的一些改进算法、模糊神经网络、小波神经网络、遗传算法优化神经网络权值改进算法等，根据需要，读者还可以对该工具包进行扩展，即扩充一些新的函数，以实现特殊的算法需求。-nnToolKit neural network tool kit is based on the MATLAB neural network toolbox developed by a group of neural network algorithm library, which functions in the MATLAB environment can be run independently, and packaged into a DLL components, these components as a separate COM object, can be directly by Visual Basic, Visual C++, C++ Builder or other high-level language support COM quoted. The toolkit includes algorithms, including some of the BP algorithm to improve the algorithm, fuzzy neural network, wavelet neural networks, genetic algorithms to optimize neural network weights to improve the algorithm, if necessary, readers can also expand the tool kit, namely the expansion of some new function, the algorithm in order to achieve special needs. Platform: |
Size: 10865664 |
Author:魏建明 |
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Description: 小波神经网络电力负荷预测,有较强的学习价值和应用价值-Wavelet neural network power load forecasting, there are strong learning value and applied value Platform: |
Size: 3072 |
Author:许诺 |
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Description: 两本神经网络方面的经典电子书
人工神经网络导论.pdf
人工神经网络实用教程.pdf
神经网络是智能控制技术的主要分支之一。本书的主要内容有：神经网络的概念，神经网络的分类与学习方法，前向神经网络模型及其算法，改进的BP网络及其控制、辨识建模，基于遗传算法的神经网络，基于模糊理论的神经网络，RBF网络及其在混沌背景下对微弱信号的测量与控制，反馈网络，Hopfield网络及其在字符识别中的应用，支持向量机及其故障诊断，小波神经网络及其在控制与辨识中的应用。-Two neural networks classic book Introduction to Artificial Neural Networks. Pdf Practical Guide artificial neural network. Pdf neural network is the intelligent control technology, one of the main branch. The main contents of this book are: the concept of neural networks, neural network classification and learning methods, the former to the neural network model and its algorithm, the improved BP network and its control, recognition modeling, based on genetic algorithm neural network, based on fuzzy the theory of neural network, RBF network and its application in the context of chaotic signals of weak measurement and control, feedback network, Hopfield Network and Its Application in character recognition, support vector machine and its fault diagnosis, wavelet neural network and its application in control and identification applications. Platform: |
Size: 7793664 |
Author:梁健 |
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Description: 这是《精通VC++数字图像模式识别技术及工程实践[第2版]》光盘源代码，其中包括EM算法、fisher判别函数、HMM隐马尔科夫模型、BP神经网络、小波变换、alpha-beta剪枝、A*算法等，还包含几个纹理分析、人脸定位、字符识别、车牌号识别、8数码、黑白棋、离线/在线签名等实例，因此对于学习模式识别、人工智能的朋友们都大有裨益。光盘中的素材请见另外一个资源。-This is " proficient in VC++ Digital Image Pattern Recognition Technology and Engineering Practice [2nd edition]" CD-ROM source code, including the EM algorithm, fisher discriminant function, HMM hidden Markov model, BP neural network, wavelet transform, alpha- beta pruning, A* algorithm, but also contains a number of texture analysis, face positioning, character recognition, license plate number recognition, digital 8, Reversi, offline/online signatures examples, so for studying pattern recognition, artificial intelligence friends are of great benefit. CD-ROM material, see the other resources. Platform: |
Size: 14680064 |
Author:吴 |
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Description: 对采集到的电压信号进行小波包分解提取特征向量，再进行BP神经网络训练-On the acquisition of the voltage signal to the wavelet packet decomposition to extract feature vector and then BP neural network training Platform: |
Size: 451584 |
Author:董黎芳 |
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Description: 该文件包含了BP小波神经网络快速学习算法研究与仿真的论文，以及两套小波算法方案，均通过MATLAB实现-This file contains the fast BP neural network learning algorithm and simulation papers, and two sets of wavelet algorithm for the program are achieved through the MATLAB Platform: |
Size: 148480 |
Author:蓉儿 |
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Description: 摘要:心电图ST段对心脏疾病的诊断具有重要意义。在正确读取采集于郑州大学一附院的运动心电图数据基础上,利用小波变换更准确地确定其ST段的起始和终止位置,初步探讨了BP神经网络用于心电图ST段识别的方法,并用此方法识别出心电图ST段的三种类型—正常、水平压低和抬高。实验结果较好。
-Abstract: ECG ST segment on the diagnosis of heart disease is important. Collected in the correct reading of the first affiliated hospital of Zhengzhou University in exercise ECG data based on the use of wavelet transform to more accurately determine the ST segment of the start and end position, discussed the BP neural network for ECG ST-recognition method, and use this method to identify three types of ECG ST segment- the normal, the level of depression and elevation. Experimental results are good. Platform: |
Size: 97280 |
Author:Lily |
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Description: 建立BP神经网络负荷预测模型，并对BP神经网络的节点（输入层、中间层、输出层）进行选择,并选用合适的小波神经网络的训练函数,提高收敛速度和负荷预测精度。-The establishment of BP neural network load forecasting model, and the BP neural network nodes (input layer, middle layer, output layer) to select and choose the appropriate wavelet neural network training function to improve the convergence speed and the load forecast accuracy. Platform: |
Size: 192512 |
Author:bug |
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Description: 几篇小波神经网络的经典文章,望对你有用,这对我也有好处.-According to wavelet analysis and neural network theory, a number of free online reference source, as well as their understanding of Bp neural Platform: |
Size: 7481344 |
Author:甘续生 |
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Description: 基于小波变换的神经网络代码，与BP神经网络进行比较。可以在某些方面进行优化。-Neural network code based on wavelet transform is compared with BP neural network. In certain areas can be optimized. Platform: |
Size: 2048 |
Author:anwei |
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Description: 为保障安全与电力用户供电质量，基于并网逆变器的分布式发电(distributed generation DG)系统要求具备孤岛检测功能。针对被动式孤岛检测法检测盲区(non-detectionzone，NDZ)大、检测时间长以及主动式孤岛检测法影响分布式发电系统供电质量的缺点，提出了一种新的被动式孤岛检测方法。该方法利用小波变换从公共耦合点(point ofcommon coupling，PCC)处的电压信号及逆变器输出电流信号中提取特征量，再通过BP 神经网络进行模式识别来判断是否出现孤岛现象。仿真与实验结果表明，该方法比传统的被动式孤岛检测方法检测速度快，检测盲区小。同时，由于所提供的孤岛检测法没有向控制信号中加入扰动量，因而不会对电能质量产生不良影响，克服了主动式孤岛检测方法的不足，并具有很高的准确性与可靠性。-The function of islanding detection is required for the grid-connected inverter-based distributed generation system due to safety reasons and to maintain the quality of power supply. Passive methods have a large non detection zoneand the detecting time is long, while active schemes have negative influence on power quality, so a novel passive islanding detection method was proposed. In this method, wavelet transform was adopted to extract feature vectors the voltage of point of common coupling (PCC) point and the output current of inverter, and then pattern recognition was exerted by BP neural network to determine whether there was an island phenomenon. The simulation and experiment results show that this method is faster than the traditional passive methods in islanding detection, and the non-detection zone is smaller. At the same time, because no disturbance was added to the control signal in the method, there isn’t a negative impact on power quality. The method overcomes the shortco Platform: |
Size: 609280 |
Author:kiel |
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Search - BP neural network wavelet