Description: Back-Propagation Neural Network Model for predicting the traffic situation of Australia. -This procedure aims to solve the prediction of the Australia Highway traffic situation. Platform: |
Size: 10240 |
Author:Justin Han |
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Description: 对量子粒子群优化(QPSO) 算法进行研究，提出了自适应量子粒子群优化(Adaptive QPSO) 算法，用于优化Elman 神经
网络的参数，改进了Elman 神经网络的泛化能力。利用网络流量时间序列数据进行预测，实验结果表明，采用AQPSO 算法优
化获得的Elman 神经网络模型不但具有较强的泛化能力，而且具有良好的稳定性，在网络流量时间序列数据的预测中具有
一定的实用价值-Quantum-behaved particle swarm optimization (QPSO) algorithm is researched and adaptive quantum-behaved particle
swarm optimization (AQPSO) algorithm is proposed in order to improve network’s performance. By applying AQPSO algorithm to
train the net parameters adopted in the Elman neural network, the generalization ability of the Elman neural network is improved. Experimental
results with network traffic time series data forecasting sets show that obtained network model has not only good generalization
properties, but also has better stability. It illustrates that Elman net with AQPSO optimization algorithm has the promising application
in network traffic time series data prediction. Platform: |
Size: 312320 |
Author:张杰 |
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Description: 城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键. 基于交通流预测的特点,给出了基于遗传算法的小波神经
网络的交通预测模型GA-WNN ,用具有自然进化规律的遗传算法来对小波神经网络的连接权值和伸缩平移尺度进行前期优化训练,部分代替了小波框架神经网络中按单一梯度方向进行参数优化的梯度下降法,克服了单一梯度下降法易陷入局部极小和引起振荡效应等缺陷. 仿真实验验证了GA-WNN 预测模型对短时交通流的预测的有效性.-For the high complexity ,time-variation and probability of urban traffic flow , its real-time and exact
prediction is critical to the research of intelligent traffic systems , especially for the advanced traffic manage-ment system and advanced traveler information system. Based on the character of the traffic flow prediction , a
GA-WNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of
natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to
pre-optimize the connection weight and the extension scale of the wavelet neural network and later optimize the
parameters along a single gradient vector. This method overcomes some drawbacks when there exists a single
gradient descendent algorithm , such as local minimum and oscillation. A short-time traffic flow prediction sim-
ulation using the GA2WNN prediction model demonstrates the validity of the model . Platform: |
Size: 615424 |
Author:mengfei |
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Description: 针对基于GPS／GIS的浮动车数据特点，总结其中无效的数据类型，并给出数据有效处理的方法。以支持向量机原理、交通状态预测方法为基础，分析了常用支持向量回归机、核函数及模型参数的性能，以及各核函数及模型参数对支持向量机性能的影响及作用。针对路段平均速度预测中的小样本、非线性、高维回归等特点，将支持向量回归机方法引入基于浮动车数据的路段车辆速度预测，构建了路段平均速度短时预测模型。并以杭州市某路段的实际数据为例，详细阐述了支持向量回归机预测模型的具体建模和求解过程。运用LibSVM2．84软件包，进行预测模型的参数选择、样本训练以及预测求解，并通过预测结果的对比分析，验证了预测模型的可用性和有效性。-Characteristics of the GPS/GIS-based floating car data, summary of which types of invalid data, and gives the effective data processing method. Support vector machine, the traffic state prediction method based on analysis of commonly used support vector regression machines, nuclear function and performance of the model parameters, as well as the kernel function and model parameters on the performance of SVM and effect. Small sample, nonlinear, high dimensional regression for the prediction of average speed characteristics, the support vector regression machine to the introduction of prediction based on floating car data section of the speed of vehicles, build a short-term forecasting model of average speed. In Hangzhou section of the actual data, for example, elaborated on the specific modeling and solving process of the support vector machine for regression prediction model. Use LibSVM2.84 package forecast model parameter selection, sample training, and forecasting solution, and verif Platform: |
Size: 2207744 |
Author:tangshx |
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Description: 基于PSO-SVM的短期交通流预测方法，是毕业设计参考的文献，希望对做同一课题的同学有帮助-PSO-SVM-based short-term traffic flow prediction methods, and graduated from the design reference literature to help students do the same subject Platform: |
Size: 182272 |
Author:zhanghu |
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Description: 小波神经网络的时间序列预测-短时交通流量预测，供新手学习-The wavelet neural network time series prediction- short-term traffic flow forecast for the novice to learn Platform: |
Size: 5120 |
Author:jack |
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Description: The spectrum sensing problem has gained new
aspects with cognitive radio and opportunistic spectrum access
concepts. It is one of the most challenging issues in cognitive
radio systems. In this paper, a survey of spectrum sensing
methodologies for cognitive radio is presented. Various aspects
of spectrum sensing problem are studied from a cognitive radio
perspective and multi-dimensional spectrum sensing concept is
introduced. Challenges associated with spectrum sensing are
given and enabling spectrum sensing methods are reviewed.
The paper explains the cooperative sensing concept and its
various forms. External sensing algorithms and other alternative
sensing methods are discussed. Furthermore, statistical modeling
of network traffic and utilization of these models for prediction
of primary user behavior is studied. Finally, sensing features of
some current wireless standards are given. Platform: |
Size: 456704 |
Author:Deepesh |
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Description: 一种实现话务预测预测算法，基于遗传算法优化神经网络，源码+数据，效果很好-A traffic forecast prediction algorithm based on genetic algorithm optimization neural network source+ data, the effect is very good Platform: |
Size: 25600 |
Author:douzi |
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Description: 《MATLAB神经网络30个案例分析》中的第23个例子，案例23 小波神经网络的时间序列预测-短时交通流量预测。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 23 example, 23 cases of wavelet neural network time series forecasting- short-term traffic flow prediction. Hope to have certain help to everybody!
Platform: |
Size: 5120 |
Author:杨飞 |
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Description: 基于时间序列相空间重构和RBF神经网络的短时交通流量预测学习方法-Based on time series phase space reconstruction and RBF neural network method of short-term traffic flow prediction study Platform: |
Size: 6030336 |
Author:王强 |
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Description: matlab时间序列法 小波神经网络的时间序列预测——短时交通流量预测-matlab time series WNN time series prediction- short-term traffic forecast Platform: |
Size: 4096 |
Author:冷祖昊 |
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