搜索资源列表
fuping
- BP神经网络预测。这是一个用于交通流量预测的MATLAB原程序-BP neural network forecasting. This is a traffic forecast for the original program MATLAB
基于Delphi和Matlab的混合编程方法在交通流量估算中的应用
- 介绍了一种基于组件对象模型（COM）的Delphi与Matlab混合编程方法。在交通流量估算中充分利用两者各自的编程优势，大大提高了预测未来交通流量的水平和效率。
fuping
- BP神经网络预测。这是一个用于交通流量预测的MATLAB原程序-BP neural network forecasting. This is a traffic forecast for the original program MATLAB
56987432566
- 一本介绍如何利用线圈检测器和视频检测器来检测道路交通流量，使用遗传算法和指数平滑法来预测交通流量的书籍-a coil how to use detection devices and video detector to detect road traffic, the use of genetic algorithms and exponential smoothing method to predict traffic flow of
shengjingwangluo
- 用matlab实现神经网络的城市交通流量预测。主要以大脑生理变化过程为基础、模仿大脑的结构和功能-Neural network using matlab implementation of the urban traffic flow prediction. Major physiological changes to brain-based process, to imitate the structure and function
kw
- 文献介绍了基于小波分析和kalman滤波的交通流量预测方法，应用组合模型进行预测，比单一模型较为精确-Literature describes the wavelet analysis and kalman filtering based on traffic forecasting methods, the application composition model to predict more accurate than a si
Bpnetworkprediction
- 自己编写的bp神经网络用来进行交通流量预测，具有一定的准确性-I have written to bp neural network used for traffic forecasts, with some accuracy
Wavelet_neural_network_time_series_prediction
- 根据小波神经网络原理在MATLAB环境中编程实现基于小波神经网络的短时交通流量预测-According to the principle of wavelet neural network in MATLAB programming environment based on wavelet neural network traffic prediction of short
Transcad--GISDK--VB
- 利用VB和TransACD软件二次开发包GISDK，实现交通规划中基于“四步骤”原理的交通流量预测。用户只要路网图、区域图和交通属性数据的文件准备好，即可全自动进行交通流量预测。压缩包中含有实例数据。-The development of Transcad based on GISDK and VB.
wavenetmain2
- 小波神经网络 基于交通流量的预测 具有很强的模型转换能力-Wavelet neural network traffic prediction based on model transformation has a strong ability to
Ann5
- 基于小波神经网络的时间序列预测的短时交通流量预测的matlab源程序与数据-Based on wavelet neural network time series forecasting short-term traffic flow prediction matlab source code and data
five-kind-BP-for-traffic-prediction
- 采用五种不同的局部算法对BP网络进行改进，预测交通流量，根据不同的数据特征可以进行不同的选择-Using five different local networks to improve the BP algorithm to predict traffic flow, according to different data characteristics can be different choices
BP
- 基于小波神经网络交通流量预测源代码 基于小波神经网络交通流量预测源代码 -verygood bp
yc
- 用于短时交通流量预测，可以辅助画图作业，源代码-Used for short-term traffic flow forecasts can assist drawing operation, the source code
Intersection-traffic-prediction
- 本文的核心部分就是研究无检测器交叉*通流量预测模型和算法，提高预测精度。-This paper studies the core part is no detector intersection traffic flow predictive model and algorithm, increase the prediction accuracy.
chapter32
- 短时交通流量预测,基于小波神经网络的时间序列预测(Short-term traffic flow prediction based on time series prediction of wavelet neural networkc flow forecasting)
小波神经网络的时间序列预测——短时交通流量预测
- 小波神经网络的时间序列预测——短时交通流量预测，含源程序和数据(Time Series Prediction Based on Wavelet Neural Network - Short-term Traffic Flow Forecasting)
小波神经网络的时间序列预测——短时交通流量预测
- 小波神经网络的时间序列预测——短时交通流量预测(Prediction of time series based on Wavelet Neural Network -- short term traffic flow prediction)
小波神经网络的时间序列预测-短时交通流量预测
- 本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测
304project-main
- 交通流量预测代码，含说明文档，matlab例程(traffic flow prediction)