搜索资源列表
yuce-vc
- 预测神经网络,vc的程序,希望有用!!!!!!! -forecast neural networks, vc the procedures in the hope that useful !!!!!!!
yuce
- 神经网络支持向量机程序,用于模式识别,股指预测-neural network SVM procedures for pattern recognition, stock index forecast
yuce
- 有关于隐式广义预测的介绍,主要思想就是通过RLS辨识G中的g1,g2,等
yuce
- 自适应预测,采用自适应方法预测信号,输入参数要设置
yuce
- 利用模拟电荷法预测线电荷和点电荷产生的电场强度,使用与工程电磁场的数值计算-Charge simulation method using prediction line charge and point charge generated electric field strength, electromagnetic field using the numerical and engineering
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- 预测控制算法程序,可以直接调用,很方便!-GPC program!
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- mt4预测指标参考以前的盘面走势预测以后的盘面走势-mt4 predictors
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- 灰色预测程序,可以实现灰色状态的预测! 程序小巧轻便、绿色!-great
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- 用matlab实现预测的神经网络代码,很实用-Using matlab implementation of the neural network prediction code, a very practical
yuce
- 一个BP网络的MATLAB源代码,通过训练学习,进而对目标的预测-A BP network of MATLAB source code to learn through training and then on the target forecast
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- 用灰色预测理论实现负荷预测,可以任意取点-Gray prediction theory to achieve load forecasting, you can take an arbitrary point
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- 较新的计算Volltera级数预测的程序,可以稳定运行。-a new fangfa of vollteral
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- 用matlab实现的对一阶系统实现的预测函数控制,能有效的处理小扰动,效果非常理想。-Achieved with the matlab implementation of the first-order predictive functional control system can effectively deal with small perturbations, the effect was very good.
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- 对N个整数进行排列,形成一个最大的整数,例123 4 5形成54123-Of N integers arranged to form one of the largest integer, for example, form 54 123 12 345
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- 单变量系统的隐式广义预测控制算法的研究,提供了matlab环境下的。m文件-programme for GPC
yuce
- 一个预测算法,对采集的数据点进行拟合预测,得到最佳曲线。-A prediction algorithm, the collected data points were fitted predict the best curve.
yuce
- 预测编码是信源编码的一种,对有记忆信源的剩余度进行压缩的一种时域编码方法。-Predictive coding is a source coding, there are memories of the remaining source of a degree of compression coding method in time domain.
yuce
- 对房屋租金进行预测,使用RBFmatlab,结果显示图形。-Forecast of housing rent, use RBFmatlab, the results show graphics.
yuce
- 基于灰色神经网络的订单需求预测有用的可以-Gray neural network based demand forecast of orders can be useful to look at
RBF-jianmo-and-yuce
- 本程序是神经网络中RBF建模和预测程序,有助于读者了解RBF方法。-This program is in the RBF neural network modeling and forecasting process to help readers understand the RBF method.