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Description: Backpropagation Network Time-Series Forecasting 源码, 经典的BPN人工神经网络例子源码-Backpropagation Network Time-Series Forecasting source, the classic example of artificial neural network BPN source
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Description: 人工神经网络天气预报方法-ANN weather forecasting method
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Size: 2048 |
Author: 王大田 |
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Description: 是MATLAB的BP预测程序，有实际参考价值，需要的就下吧-MATLAB BP is forecasting process, the practical reference value, we need it on the next
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Size: 2048 |
Author: wlr |
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Description: 二次指数平滑预测法和三次指数平滑预测法是普遍的预测方法,应用很广,本代码还包含其平滑系数的确定-quadratic exponential smoothing prediction and three exponential smoothing prediction is a common forecasting methods, a wide application, the code also includes its smooth determine the coefficient
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Description:
开发环境:Matlab
简要说明:程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-development environment : Matlab brief description : program includes the installation including : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, momentum factor, the number of training, the overall error of hidden nodes.
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Size: 2048 |
Author: 刘华 |
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Description: 销售预测系统，可以根据历史销售数据对未来的销售量进行有效预测，采用BP神经网络对预测模型进行训练，可以达到不错效果-sales forecasting system, based on historical sales data for the future effective sales forecasts, BP neural network model to predict the training, they can achieve good results
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Size: 802816 |
Author: 杜昭翼 |
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Description: 该程序用遗传算法对人工神经网络进行优化，预测sars的变化趋势-the process of using genetic algorithms for artificial neural network optimization, forecasting the trend EX/108
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Size: 49152 |
Author: 凯斯 |
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Description: 销售预测系统，可以根据历史销售数据对未来的销售量进行有效预测，采用BP神经网络对预测模型进行训练，可以达到不错效果-sales forecasting system, based on historical sales data for the future effective sales forecasts, BP neural network model to predict the training, they can achieve good results
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Author: 李光 |
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Description: 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）-procedure used to upgrade Method second generation wavelet transform I use a non-integer-order wavelet transform domain when used, the first step out go backward transformation : split and forecast updates; Anti-Transform : Update, forecasting, consolidations only one (which can be multi-storey, but each floor and update the forecast equation different)
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Size: 1024 |
Author: 刘彦平 |
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Description: 用matlab实现利用统计混沌方法解决非线性系统时间序列预测的问题-achieved using Matlab using statistical methods to solve nonlinear chaotic time series forecasting system problems
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Size: 26624 |
Author: mtaotao |
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Description: BPDL.m可以通过神经网络进行预测和样本分类-BPDL.m through neural network forecasting and sample classification
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Size: 2048 |
Author: 陈亨利 |
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Description: 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 disciplines in the atmosphere among many of the neural network forecasting and climate modeling analysis applied research. However, with the neural network method atmospheric science research in the field continued to deepen, the researchers found neural network method in practical business applications exist forecast an important issue
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Size: 64512 |
Author: zhxj |
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Description: 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!
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Size: 167936 |
Author: 侦探界小侠 |
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Description: 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
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Size: 61440 |
Author: znb |
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Description: 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
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Size: 1024 |
Author: 张雅琦 |
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Description: 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
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Size: 1024 |
Author: sunyan |
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Description: 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 be able to realize short-term power load forecasting, the same used in other types of time series prediction
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Size: 1024 |
Author: sunyan |
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Description: 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%% using time domain achieved, steps out first go backward%% transformation : split and forecast updates; %% inverse transformation : Update, forecasting, %% off with a layer (which can be multi-storey, but the typical forecast and updating different equation)
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Size: 1024 |
Author: Michael |
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Description: 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
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Size: 124928 |
Author: 钱斌 |
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Description: 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。-first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized
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Author: NBB |
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