搜索资源列表
GA优化BP神经网络
- 该程序利用遗传算法,优化神经网络结构,是MATLAB源代码。(The neural network structure is optimized by genetic algorithm)
EMDandBP
- 结合emd和bp神经网络的算法, 对轴承故障数据进行诊断,数据可以自己添加(EMD and BP algorism are combined to classify different kinds of faults of bearings. Source data need to be added by yourself)
CS_BP_OK-low
- 使用布谷鸟算法优化BP神经网络进行分类。替换数据即可使用。(The BP neural network was classified by using the cuckoo algorithm. Replacement data can be used.)
改进的PSOBP
- 使用改进的PSO算法优化BP神经网络是实现数据的分类。调试通过,替换样本数据即可使用(Optimizing BP neural network using improved PSO algorithm is the classification of data. Debug through, replace sample data can be used)
采用遗传算法和人工神经网络对短期负荷做出预测
- 用于负荷预测和风电与光伏预测,算法精度高,易于实现。(For load forecasting and wind power and photovoltaic forecasting, the algorithm is accurate and easy to implement.)
NNPID
- BP神经网络PID,智能算法matlab仿真。经典PID算法的不足(BP nenural network is designed to control the step moter, which is more pricise and steady.)
chapter2
- BP神经网络基本算法,采用MATLAB编程语言,文件完整下载即可运行(BP neural network algorithm)
bp_2
- bp神经网络基本的全面算法,包括画图和注释(BP neural network basic comprehensive algorithm, including drawing and notes)
NN
- 神经网络算法实现MATLAB仿真实例BP神经网络算法(neural networkAim To study some applications of a neural networks in combinatorial optimization)
BP NN jiaochayanzheng
- 基于改进的BP神经网络的算法,并结合了交叉验证算法,划分为训练集与测试集进行改进。(Based on the improved BP neural network algorithm and the cross validation algorithm, the training set and test set are improved.)
MATAB神经网络30个案例分析
- 该PDF共有30个MATLAB神经网络的案例,包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络;还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍,同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM
bp
- 简单的bp神经网络代码,通过python编写,很适合学习应用(Simple BP neural network code, written by python, it is suitable for learning applications)
GA-BPNN
- 遗传算法优化BP神经网络-非线性函数拟合(BP neural network optimized by genetic algorithm for nonlinear function fitting)
NN1.m
- BP神经网络在matlab上已有可以使用的工具箱,本程序探讨如何实现简单的多层BP网络,并提供可执行的代码和例程供参考。(BP neural network has been available on the Matlab toolbox, this program discusses how to achieve a simple multi-layer BP network, and provide executable code and routines for reference.)
一种基于改进BP神经网络的PCA人脸识别算法_李康顺
- 一种基于改进BP神经网络的PCA人脸识别算法(An improved BP neural network PCA algorithm for face recognition)
code for homework3
- 本项目使用python自行实现了一遍BP算法,并大家一个三层的简易神经网络模型。供初学者使用。(This project uses Python to implement the BP algorithm once more, and we have a simple neural network model of three layers. For beginners to use.)
code for homework3
- 使用matlab自实现BP算法,并搭建三层神经网络建议模型。(The BP algorithm is implemented by using matlab, and the three layer neural network model is built.)
案例3
- 遗传算法优化BP神经网络,对非线性函数进行拟合。(The genetic algorithm optimizes the BP neural network to fit the nonlinear function.)
神经网络BP算法源代码(C )
- 神经网络BP算法源代码,c编写,有需要的可以简单学习一下(The source code of the neural network BP algorithm, C)
chapter3
- 基于遗传算法的bp神经网络的研究与应用(Research and application of BP neural network based on genetic algorithm)