搜索资源列表
4378347348348
- 基于遗传算法的BP神经网络气象预报建模,20世纪90年代以来，国内外在大气学科中开展了很多有关神经网络预报建模和气候分析等应用研究。然而随着神经网络方法在大气科学领域研究的不断深入，研究人员发现神经网络方法在实际业务天气预报应用中存在一个重要的问题-BP neural network modeling of weather forecasting, in the 20th century since the 1990s, domestic and international discipline
SsqPrepect
- 自己写的一个双色球预测程序，实现了几种很准的方法，哈哈！大家分享，继续完善，望早日中奖啊！-himself in a jackpot winner forecasting process to achieve several very accurate method, ha ha! We share, continue to improve, winning an early look ah!
LuckLottery
- 利用人工智能原理中BP神经网络算法，建立的彩票预测程序，当然不可能都预测中，但是要学习神经网络的人值得一看-BP neural network algorithm, the establishment of the lottery forecasting process, of course, not all forecasts, but neural networks to study the eye-catcher
BPwavelet_0222
- 基于小波神经网络算法的流域日径流预报模型，该例程为结合型小波神经网络的例子-based on wavelet neural network algorithm watershed day runoff forecasting model, the combination of routines for wavelet neural network examples
temperature_client_server
- 该程序包括一个预报各大城市天气的Web服务和一个实际应用该Web服务的应用程序。-The procedures include a weather forecasting major cities of Web services and a practical application of the Web services should procedure.
zhishuyc
- 用matlab实现的自回归时间序列预测电力短期负荷，已经用于实际的工程-using Matlab achieved since reunification time series forecasting electricity short-term load, has been used for the actual project
s23uan
- 本程序时基于混沌理论和ELMAN神经网络的短期负荷预测，能取得很好的预测效果，直接使用该程序就能实现电力短期负荷预测，同样使用于其他类型的时间序列预测-the procedures based on chaos theory and neural networks ELMAN short-term load forecasts, can be achieved very good results forecast, the direct use of the procedure we will
RMSD
- RMSD: Root Mean Square Deviation 是一种在分子模拟及预测中很常见的评价标准，通过Jacobi变换来的到一个大分子和目标分子的相似程度。常用来评价一个三维结构的预测结果是否足够准确.作者主页http://dillgroup.ucsf.edu/~bosco/ 压缩包里的html里还包括有Python代码-RMSD : Root Mean Square Deviation is a molecular simulation and forecasting very
2501425708
- 此程序用提升法实现第二代小波变换 ％％ 我用的是非整数阶小波变换 ％％ 采用时域实现,步骤先列后行 ％％ 正变换：分裂，预测，更新； ％％ 反变换：更新，预测，合并 ％％ 只做一层（可以多层，而且每层的预测和更新方程不同）-the procedure used to upgrade method is the second generation wavelet transform%% I use a non-integer-order wavelet transform%%
shenjingwangluojiemian
- 用matlab编的神经网络预测方面的界面，希望对大家有用-using Matlab addendum to the neural network forecasting interface, it may be useful to hope
ChaosToolbox1p0_trial
- 混沌时间序列分析与预测工具箱 Version1.0 (Chaotic Time Series Analysis and Prediction Matlab Toolbox - version 1.0) -chaotic time series analysis and forecasting toolbox Version1.0 (Chaotic Time Series Analysis and Prediction of Matlab Toolbox - version 1.0)
2Dwavelet
- 此程序用提升法实现第二代小波变换 ％％ 我用的是非整数阶小波变换 ％％ 采用时域实现,步骤先列后行 ％％ 正变换：分裂，预测，更新； ％％ 反变换：更新，预测，合并 ％％ 只做一层（可以多层，而且每层的预测和更新方程不同）-the procedure used to upgrade method is the second generation wavelet transform%% I use a non-integer-order wavelet transform%%
jra78
- 短期负荷预测通常是指24小时的日负荷预测和168小时的周负荷预测，本文主要预测的是日平均负荷，对于短期负荷预测-short-term load forecasts usually refers to the 24-hour daily load forecasting and 168 hours a week load forecasting, In this paper, the forecast is the average load, short-term load forecasting
Powerly
- 本文分析小波神经网络的特点重点研究在电力负荷预测中连续小波神经网络与BP神经网络相比具有的优缺点对认识和应用小波神经网络具有重要意义算例表明在网络结构相同的情况下连续小波神经网络比BP神经网络具有更高的预测精度-wavelet analysis of this neural network research focused on the characteristics of the power load forecasting continuous wavelet neural network
PredictPower
- 为提高了短期负荷预测的精度根据季节气候的不同做不同的模糊处理并建立专家处理系统对天气做的模糊处理使预测结果令人满意-to a rise in short-term load forecasting accuracy under different seasonal climate so different fuzzy treatment and the establishment of the Expert Jimmy system for weather so fuzzy treatment
AIandPredict
- 短期负荷预测对电力系统的经济和安全运行有重要作用随着人工智能技术和高深数学理论的发展,为负荷预测研究开辟了新途径和新方法电力市场竞争机制引入对负荷预测提出新要求各种随机因素对负荷预测的影响尚未取得完善研究方法据此对负荷预测的研究一直是人们研究的热点本文是根据课题组研究工作在总结的基础上重点介绍模糊集理论数据挖掘小波分析混沌理论的负荷预测研究 关键词短期负荷预测智能技术模糊集理论数据挖掘小波分析混沌理论-short-term load forecasts on the power system
SGNNexperiments
- 用matlab编写的基于自生成神经网络(self-generated neural network)的预测方法(包含数据集)-prepared using Matlab based on the self-generating neural network (self-generated ne ural network) forecasting methods (including data sets)
ChaosToolbox1p0_trial
- 混沌时间序列预测工具箱，包括了李雅普诺夫指数、分形纬、嵌入纬以及神经网络预测-chaotic time series forecasting tool kit, including the Lyapunov exponent, fractal-wai, Wei and embedded neural network prediction
TISEAN_3.0.1
- 时间序列工具，用于时间序列分析，预测，功能十分强大。-time series tool for time series analysis, forecasting, functional very strong.
ARMCSharp
- C#编写的AR(M）趋势预测模型函数，包括AR模型参数值计算，预测函数，还有LDLT计算三角矩阵方程函数-prepared by the AR (M) trend forecasting model function, including the AR model parameter values, the predictive function. There LDLT triangular matrix equation calculation function