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Description: 遗传算法优化小波神经网络的源程序:
1.构造的非线性函数: 位于nninit_test.m
2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数)
3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
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Size: 7020 |
Author: 李为 |
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Description: 小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
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Size: 1460 |
Author: lanhucx |
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Description: 遗传算法优化小波神经网络的源程序:
1.构造的非线性函数: 位于nninit_test.m
2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数)
3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
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Size: 7168 |
Author: 李为 |
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Description: 单输入单输出函数小波网络，用户需安装matlab神经网络工具箱，用户可以根据需要更换自己的训练样本，kugfcn.m,radbasmorlet.m分别为两个小波母函数，代码中加入了最优停止训练算法，非常好用-SISO function wavelet network, users need to install matlab neural network toolbox, users need to be replaced in accordance with their own training samples, kugfcn.m, radbasmorlet.m were two wavelet generating function, the code is added to optimal stopping training algorithm, very easy to use
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Size: 3072 |
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Description: 小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) -Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
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Size: 1024 |
Author: lanhucx |
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Description: 利用遗传算法优化BP神经网络
即用遗传算法代替BP网络中的训练函数-The use of genetic algorithm to optimize BP neural network using genetic algorithms in place of BP network training function
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Size: 2048 |
Author: zhouye |
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Description: 新的神经网络算法源程序，很适合初学者，也可以在上面进行改进！-New neural network algorithm source code, it is suitable for beginners, you can make improvements in the above!
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Size: 473088 |
Author: 李华 |
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Description: 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。- In order to improve the detection rate for anomaly state and reduce the false positive rate for normal state in the network anomaly detection, a novel method of network anomaly detection based on constructing wavelet neural network (WNN) using quantum-behaved particle swarm optimization (QPSO) algorithm was proposed. The WNN was trained by QPSO.
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Size: 1024 |
Author: liang |
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Description: 小波神经网络研究的进展及一种新算法，希望可以抛砖引玉-WNN progress of the studies and a new algorithm, hope to start
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Size: 3823616 |
Author: 张国庆 |
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Description: 小波神经网络研究的进展及一种新算法，希望可以抛砖引玉-WNN progress of the studies and a new algorithm, hope to start
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Size: 696320 |
Author: 张国庆 |
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Description: 这是一个用小波神经网络进行非线性函数逼近的例子，拟合效果非常好，保证能运行！有详细注释！我是参考《青岛海洋大学学报》 2001年第1期 一种基于BP算法学习的小波神经网络编写的，大家可以针对原文更好的理解我的程序！-This is a wavelet neural network with nonlinear function approximation example of fitting results is very good, guaranteed to run! Detailed Notes! I refer to Journal of Ocean University of Qingdao，2001 ，“a learning algorithm based on BP wavelet neural network ”, you will understand me better for program!
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Size: 2048 |
Author: jzzmm |
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Description: 基于遗传算法和小波神经网络的语音识别系统，此系统识别率可以到较高-Based on genetic algorithm and neural network speech recognition system, this system can be to a higher recognition rate
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Size: 314368 |
Author: 斯芸芸 |
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Description: 城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经
网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的预测的有效性.-For the high complexity ,time-variation and probability of urban traffic flow , its real-time and exact
prediction is critical to the research of intelligent traffic systems , especially for the advanced traffic manage-ment system and advanced traveler information system. Based on the character of the traffic flow prediction , a
GA-WNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of
natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to
pre-optimize the connection weight and the extension scale of the wavelet neural network and later optimize the
parameters along a single gradient vector. This method overcomes some drawbacks when there exists a single
gradient descendent algorithm , such as local minimum and oscillation. A short-time traffic flow prediction sim-
ulation using the GA2WNN prediction model demonstrates the validity of the model .
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Size: 615424 |
Author: mengfei |
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Description: 在网络异常检测中,为了提高对异常状态的检测率，降低对正常状态的误判率,本文提出一种基于量子粒子群优化算法训练小波神经网络进行网络异常检测的新方法。利用用量子粒子群优化算法(QPSO)训练小波神经网络,将小波神经网络(WNN)中的参数组合作为优化算法中的一个粒子,在全局空间中搜索具有最优适应值的参数向量。
-This paper presents a new method of network anomaly detection based on quantum particle swarm optimization algorithm to train the wavelet neural network in order to improve the rate of detection of the abnormal state and reduce the false positive rate for normal state in the network anomaly detection. Quantum particle swarm optimization algorithm (QPSO) training wavelet neural network, the combination of parameters of the wavelet neural network (WNN) as a particle optimization algorithm search parameter vector with the best fitness value in the global space.
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Size: 1024 |
Author: zhou |
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Description: 遗传算法优化的小波神经网络预测程序，对于建立预测模型有一定的帮助-Genetic algorithm optimization wavelet neural network prediction program, build predictive models for some help
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Size: 3072 |
Author: zouwei |
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Description: 遗传算法小波神经网络的matlab源码，可直接执行。-WNN genetic algorithm matlab source code can be executed directly.
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Size: 39936 |
Author: 张丽丽 |
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