Description: 通过分析交通流量时间序列的特点，引入BP神经网络进行短时交通流预测。首先，分析了短时交通流量预测的意义及研究背景；然后，介绍了BP神经网络的结构模型、学习规则以及BP算法的改进算法；最后，通过BP神经网络对短时交通流进行预测，并分析了在各种不同条件下的预测情况。-through the analysis of the characteristics of traffic flow time series, introduces BP neural network for short-term traffic flow prediction. First of all, it analyzes the significance of short-term traffic flow prediction and research background. And then, it has discussed the model and structure, the study rule and the improved algorithm of BP neural network. Finally, by BP neural network to forecast the short-term traffic flow, it analyzes under different conditions of the neural network prediction. Platform: |
Size: 5120 |
Author:陈峰 |
Hits:
Description: 基于盲预测方法对交通数据进行预测，判断其预测趋势-Blind prediction method is based on forecast traffic data to determine the predicted trend Platform: |
Size: 1024 |
Author:刘生 |
Hits:
Description: BP神经网络和栈式自编码器结合用于交通流量预测问题-Short-term traffic flow prediction based on BP neural network and SAE Platform: |
Size: 3072 |
Author:毛文杰 |
Hits:
Description: 小波神经网络的时间序列预测-短时交通流量预测-Time series prediction of short term traffic flow forecasting based on Wavelet Neural Network Platform: |
Size: 6144 |
Author:何佳帅 |
Hits:
Description: 该程序是小波神经网络对交通流量预测，易于实现。(The program is a wavelet neural network for traffic flow prediction, easy to implement.) Platform: |
Size: 5120 |
Author:cuizhuqimohen
|
Hits:
Description: 本程序使用GMDH网络对交通的流量进行预测，输入的数据为连续n天的m组流量数据。
输出数据为第n+1天的m组的流量的预测数据。
每个神经元的学习方式为widrow-hoff
在学习过程中，每一层否挑选15个优秀的神经元保留到下一层(This procedure uses GMDH network traffic flow prediction, the input data for the continuous n days of M group traffic data.
The output data are forecast data for the n+1 day traffic of the m group.
Each neuron has a learning style of Widrow-Hoff
In the course of the study, each layer chooses 15 outstanding neurons to hold to the next level) Platform: |
Size: 2126848 |
Author:臧泽林
|
Hits:
Description: 一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and
tracking from traffic video using Gaussian mixture models and
Bayesian estimation. In particular, the system provides robust
foreground segmentation of moving vehicles through a K-means
clustering approximation as well as vehicle tracking correspon-
dence between frames by correlating Kalman and particle filter
prediction updates to current observations through the solution
of the assignment problem. In addition, we conduct performance
and accuracy benchmarks that show about a 90 percent reduc-
tion in runtime at the expense of reducing the robustness of
the mixture model classification and about a 30 percent and 45
percent reduction in accumulated error of the Kalman filter and
particle filter respectively as compared to a system without any
prediction.) Platform: |
Size: 6215680 |
Author:O(∩_∩)O哈哈噢
|
Hits:
Description: GRNN 的做据预测－一基于广义回 归柿经网络的货运量预测 ， GRNN 具有很强的非线性映射能力和柔性网络结构以及高度的容错性和鲁棒性，适用 于解决非线性问题。(GRNN prediction based on generalized regression persimmon network traffic volume prediction, GRNN has a strong nonlinear mapping ability and flexible network structure, as well as high fault tolerance and robustness, suitable for solving nonlinear problems.) Platform: |
Size: 14336 |
Author:我爱bp
|
Hits:
Description: 根据城市道路车流量的特性，利用元胞自动机进行高精度的模拟预测(Based on the characteristics of urban road traffic flow, a high precision simulation prediction is carried out by cellular automata) Platform: |
Size: 4096 |
Author:约定hhu
|
Hits:
Description: 一个短时的电力流量预测，Elman算法与神经网络结合的实例(A short time traffic flow prediction, an example of the combination of Elman algorithm and neural network) Platform: |
Size: 2048 |
Author:wuwuwuwuwuwoo |
Hits:
Description: 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) Platform: |
Size: 4096 |
Author:myp007 |
Hits:
Description: 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) Platform: |
Size: 3072 |
Author:冰鸟 |
Hits:
Search - traffic prediction