搜索资源列表
wnn_forcast1.4
- 小波神经网络预测系统源代码包，小波神经网络预测系统源代码包-Wavelet neural network prediction system for the source code package, wavelet neural network prediction system source code package
nnetwork
- 该系统利用BP回馈神经网络算法实现对安全评价样本的学习、测试，能够正确形成安全事故各个影响因子的权重值，并且将样本和评价结果保存在数据库中，通过预测的方法为安全评价提供了一种新的途径。-The system uses neural network BP algorithm back to the safety assessment of the learning sample, test, to correct safety-related incidents affecting the for
BP
- 基于BP神经网络的彩票预测系统的研究及其源码-Rotation matrix rotation matrix mask mask
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
PSO-BP
- 自编程序，可以用于BP神经网络预测，利用PSO进行参数寻优，具有较好的效果-Self programming, can be used for BP neural network, using the PSO for parameter optimization, with good results
1
- 小波神经网络,可以用于对日径流进行预测，有助于了解小波分析与神经网络结合。-Wavelet neural networks can be used to predict daily runoff, help to understand wavelet analysis and neural networks.
qushu
- BP神经网络预测模型的相关程序，预测温度及适度等-Procedures BP neural network forecasting model to predict temperature and moderate etc.
EncryptLock
- 神经网络算法主要用于对旅行商问题的预测,和解决难题 -Neural network algorithm is mainly used for prediction of traveling salesman problem, and solve problems
RBFNN
- RBF神经网络预测 C语音编程,网络可以进行测试，得到想要的结果
dgejrmine-defer-background
- 用混沌理论和广义回归神经网络进行短期负荷的预测,取得了满意的效果-Using chaos theory and generalized regression neural network for short-term load forecast, satisfactory results have been achieved
boston
- 通过scikit-learn库利用tf.contrib.learn函数生成三层神经网络模型直接对读入数据进行训练并且对于数据可以进行预测。(Through the scikit-learn library, the tf.contrib.learn function is used to generate three layers of neural network model, and the data is trained directly, and the data can be pred
RBF代码
- RBF神经网络能够用于预测，是一种经典非线性时间序列的预测模型。(RBF neural network can be used for prediction, and it is a classic nonlinear time series prediction model.)