搜索资源列表
shenjingwangluo
- 神经网络,elman神经网络的数据预测，电力负荷预测模型研究的程序-Neural Network
GRNN-
- 基于广义回归神经网络的数据预测，使用交叉验证的GRNN神经网络预测程序，包含BP和GRNN效果比较程序。两网络用相同的数据进行训练。-Based on generalized regression neural network data prediction, using cross-validation GRNN neural network prediction program, including BP and GRNN effect comparison procedures. Two
Elman
- Elman神经网络的数据预测—电力负荷预测模型研究-Data Elman neural network prediction- the power load forecasting model study
GRNN
- GRNN的数据预测-基于广义回归神经网络货运量预测-GRNN data to predict- based on generalized regression neural network volume forecast
Elman
- Elman神经网络的数据预测—电力负荷预测模型研究,程序运行效果很不错-Elman neural network data prediction- research power load forecasting model, the effect is very good program running
BP_futures
- 【神经网络BP预测期货收盘价】：用开盘价、最高价、最低价、收盘价数据预测未来几天的收盘价，训练方法为trainlm。数据只需要一个txt文件，可以自己网上下载，TB或文化软件提取，本人提供了一份txt的开高低收文件。-[BP neural network to predict futures closing price]: with open, high, low, close price data to predict the closing price of the next few day
Elman-neural-network
- Elman神经网络的数据预测，以电力需求所谓实例进行分析预测-Elman neural network forecasting data to analyze electricity demand forecast called instances
system
- Java技术调用Weka中新开发的算法设计实现了一个基于上述特征选择和规则提取的在线数据挖掘分类系统，可实现数据的自动分类、数据规则提取以及数据预测等功能，满足用户通过Web实现在线规则提取、数据类别预测等数据挖掘需求。-depending on weka ，attribute selection classification
GA-1
- 遗传算法数据预测。给出了范围是[1，16]的1600多个数据，这些数据都是随机无规律出现，运用遗传算法来进行数据预测。-Predicting genetic algorithm of data. Given the range of [1, more than 1600 16] of data, these data are random and without rules, the genetic algorithm is applied to predict.
Data-neural-network-forecasting
- 神经网络的数据预测----电力负荷预测模型研究-Data neural network forecasting---- electricity load forecasting model study
clc
- BP神经网络matlab程序，用于中长期的数据预测。-BP neural network matlab program for long-term data to predict.
Elman-network-predition
- Elman神经网络的数据预测—电力负荷预测模型研究-Data Elman neural network prediction- Power Load Forecasting Model
GRNNpredition
- GRNN的数据预测-基于广义回归神经网络货运量预测-GRNN data prediction- based on generalized regression neural network cargo forecasts
BPYUCE
- Elman神经网络的数据预测 电力负荷预测模型研究-Data Elman neural network forecasting Power Load Forecasting Model
AR_with_remove
- 时间序列分析，AR模型，用于流数据预测与滤波 输入参数：y为原始数据矩阵，p为AR模型的阶数，la为自回归模型的遗忘系数 输出参数：预测值，置信区间，离群点等-Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting c
ELMAN
- ELMAN神经网络的数据预测——电力负荷预测模型研究-ELMAN neural network data forecast model of electric power load forecasting
wsddq
- 基于粒子群算法优化的BP神经网络，可用于数据预测和分析，实用性很强。-Particle swarm optimization based on BP neural network can be used to predict and analyze the data, very practical.
10
- 时间序列数据是指按照时间先后依次排列的观测值所构成的数列，如各年度的国内生产总值、人口数据等。研究时间序列数据模型处理的主要目的是进行数据预测，如预测下一年度的销售额、预测股票价格的走势等-Time series data is the number of columns in accordance with the chronological order of priority observations posed, such as gross domestic product each ye
Elman
- 通过Elman神经网络的数据预测来实现电力负荷预测模型研究-Through the data to predict Elman neural network to realize power load forecasting model research
GRNN-forecast-
- GRNN的数据预测-基于广义回归神经网络货运量预测-GRNN the data to predict- based on generalized regression neural network cargo forecasts