搜索资源列表
bp
- 模糊数学、灰色系统、神经网络比较--预测 模糊数学、灰色系统、神经网络比较--预测-Fuzzy, gray system, neural network comparison- predictive fuzzy math, gray system, neural network comparison- Forecast
network
- 要进行BP神经网络预测,必须对BP神经网络进行训练,此代码主要用于BP神经网络基础训练-To make BP neural network, BP neural network must be trained, this code is mainly used for basic training of BP neural network
ANNs
- 对BP神经网络进行训练然后预测,并绘制相应的误差图,计算命中率-BP neural network was trained and then predict and draw the corresponding error maps, calculate hit rate
Neural-Networks-road-traffic
- BP神经网络公路运量预测 实例讲述如何在matlab中使用BP神经网络-BP neural network prediction road traffic
JINGTAIYUCBP
- 用于动态预测的BP神经网络程序,适合于短期预测-For dynamic prediction BP neural network program, suitable for short-term forecasts
bp4
- bp神经网络在股指或者其他相关数据上的预测,预测精度需自行测试调节。-bp neural network or other relevant data in the index on the prediction, the prediction accuracy to be self-testing regulation.
predict-the-load-
- 基于BP神经网络,对某市的负荷进行预测。-Based on BP neural network to predict the load on the city.
matlab
- bp神经网络预测,能够准确预测,完全源代码,提供编程方便-bp neural network prediction
Two-color-forecasting-process
- 利用最近100期双色球开奖号码,通过遗传算法优化BP神经网络进行预测- matlab gabp Two color forecasting process
psobp
- 改进版的bp神经网络算法编程(pso),通过调权改善神经网络的收敛特性,用于精度预测,模式识别,故障诊断。-Improved version of bp neural network algorithm programming (pso), by adjusting the right to improve the convergence properties of neural networks for the accuracy of prediction, pattern recogniti
Training_NPR.m
- 该程序可用于BP神经网络的预测分析,具有较好的预测效果,可为大家提供参考-This program can be used on BP neural network prediction analysis, with better prediction results can provide a reference for everyone
Use_For_Predict
- 自编程序,可用于BP神经网络预测和分类,具有较好的效果-Self programming, BP neural network can be used for prediction and classification, with good results
bp
- matlab的神经网络,可以用来预测,分类-matlab neural network can be used to predict classification
BP-neural-network--MATLAB-
- 神经网络进行预测matlab,很不错,值得-Neural network prediction matlab, very good, worth a look
支持向量机非线性回归通用MATLAB源码
- 支持向量机和BP神经网络都可以用来做非线性回归拟合,但它们的原理是不相同的,支持向量机基于结构风险最小化理论,普遍认为其泛化能力要比神经网络的强。大量仿真证实,支持向量机的泛化能力强于BP网络,而且能避免神经网络的固有缺陷——训练结果不稳定。本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合,GreenSim团队推荐您使用。
BPnetwork
- 包含了用matlab编写的BP神经网络程序,对网络训练与预测结果进行了误差分析。-Includes using matlab BP neural network program, the network training and prediction error analysis.
elm
- 极速学习机,可以做模型预测、评价,比BP神经网络更优。-Fast learning machine, you can do the model prediction, evaluation, better than BP neural network.
Predict_duffing_with_bp
- 利用matlab自带的BP神经网络工具箱对duffing混沌背景模型进行相空间重构与预测,程序中已经给出duffing函数,主函数中也给出了主要注释,方便大家学习交流。-BP' s own use matlab neural network toolbox for duffing chaotic background model and prediction of phase space reconstruction, the program has been given duffing
tixingguanzi2
- 分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39%;二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.-Suppo
ICA-wind-prediction
- 采用最先进的殖民竞争算法Imperialist competition algorithm优化BP神经网络的初始权值、阈值,进行风电功率预测,带数据和实例,ica为主程序-Using the most advanced colonial competitive algorithm Imperialist competition algorithm to optimize the initial weights of BP neural network, threshold, carry wind