搜索资源列表
神经网络预测
- 有关bp神经网络预测的-bp of the neural network forecast
strain
- BP神经网络预测,用于预测将来可能出现的情况，并给出警示。-PREDICTION OF BP ANN
Example1
- bp神经网络预测，简单方便，容易上手，亲测可用，移植性强！-bp neural network prediction, simple, easy to use, pro-test available, portability!
76930577FortranBPprogram
- 基于fortran语言的BP神经网络预测土壤墒情-Fortran language-based BP neural network predictive soil moisture
BP-forecast.m
- BP神经网络实现人口预测，时间序列预测，值得一看，学习-BP neural network population forecasts, time series forecasting, see, learn
BP_Hidden
- 基于BP神经网络的非线性函数拟合算法流程可分为BP神经网络的构建、训练、预测三步-A nonlinear function fitting method based on BP neural network process can be divided into the construction of the BP neural network, training, to predict three steps
BP-3
- SVM神经网络的数据分类预测-葡萄酒种类识别-SVM neural network data classification forecast- Wine Type Identification
BP-4
- SVM神经网络的回归预测分析---上证开盘指数预测-SVM neural network regression analysis--- Shanghai opening index prediction
BP
- 基于BP神经网络的未来销售量的有效性的预测-Predict the effectiveness of future sales based on BP neural network
BP-Prediction
- 代码运用BP网络作为解决方案，主要对给定的数据进行仿真和预测-Code using BP network as a solution, the main simulation and projections for the given data
BPshengjing20140601
- BP神经网络方法，可用于bp预测及回归分析，并可用于无函数形式的回归-MATLAB CODE FOR BP METHOD
BP
- 基于BP神经网络的负荷预测，有结果代码，利用某地的实际数据实验得到结果，结果效果不错-BP neural network based on load forecasting , the outcome of the code , the use of an experiment to get the results of the actual data , the results are good results
bp
- bp算法的简单的java描述，经过部分的训练可以得到预期的结果，这样来进行预测-Bp algorithm of simple Java descr iption, with part of the training can get the desired results, so to forecast
code
- 1.基于概率神经网络的手写体数字识别 2.径向基网络预测地下水位 3.BP神经网络实现图像压缩 4.Elman网络预测上证股市开盘价 5.基于自组织特征映射网络的亚洲足球水平聚类-1. Identify 2. RBF neural network forecasting of groundwater 3.BP neural network image compression 4.Elman network forecasting the stock market opened o
LVQ
- bp神经网络进行仿真分类，人类乳腺癌的发生率预测与分析。-bp neural network simulation classify human breast cancer incidence and predictive analysis.
BP-network
- 基于小波神经网络的时间序列预测—短时交通流量预测-Short-term traffic flow prediction based on wavelet neural network