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chaos optimization algorithm
相关语句
  混沌优化算法
    According to the characteristics of traffic flow, this paper proposes a new model of traffic flow forecast based on wavelet networks and the forecast algorithm of comparable time intervals. The structures of wavelet networks are optimized by a modified chaos optimization algorithm.
    结合交通流预测的特点,提出了一种基于小波网络的路段交通流预测方法,把混沌优化算法引入小波网络的拓扑构造,结合提出的相似时段的预测思想,给出了一种基于混沌优化算法的小波网络交通流量预测模型.
短句来源
    Under the conditions of given intersection space de sign and signal phases and with the restriction of traffic delays (level of serv ice) of motor vehicles and non-motor vehicles, this paper presents an optimizat ion model for the maximum motor vehicle traffic capacity using the traffic flow control theory. And the model is solved by a hybrid algorithm, which combines g enetic algorithm with chaos optimization algorithm.
    运用交通流控制理论建立了在交叉口空间渠化及信号相位相序给定的条件下,考虑机动车与非机动车的延误(服务水平)约束条件,机动车通行能力最大的优化模型,并利用遗传算法及混沌优化算法互补的混合优化算法对模型进行了优化计算.
短句来源
  混沌优化
    According to the characteristics of traffic flow, this paper proposes a new model of traffic flow forecast based on wavelet networks and the forecast algorithm of comparable time intervals. The structures of wavelet networks are optimized by a modified chaos optimization algorithm.
    结合交通流预测的特点,提出了一种基于小波网络的路段交通流预测方法,把混沌优化算法引入小波网络的拓扑构造,结合提出的相似时段的预测思想,给出了一种基于混沌优化算法的小波网络交通流量预测模型.
短句来源
    Under the conditions of given intersection space de sign and signal phases and with the restriction of traffic delays (level of serv ice) of motor vehicles and non-motor vehicles, this paper presents an optimizat ion model for the maximum motor vehicle traffic capacity using the traffic flow control theory. And the model is solved by a hybrid algorithm, which combines g enetic algorithm with chaos optimization algorithm.
    运用交通流控制理论建立了在交叉口空间渠化及信号相位相序给定的条件下,考虑机动车与非机动车的延误(服务水平)约束条件,机动车通行能力最大的优化模型,并利用遗传算法及混沌优化算法互补的混合优化算法对模型进行了优化计算.
短句来源
  “chaos optimization algorithm”译为未确定词的双语例句
    Authors incorporated chaos optimization algorithm into the PSO algorithm,and proposed a new PSO algorithm based on chaos searching.
    该方法保持了PSO算法结构简单的特点,改善了PSO算法的全局寻优能力,提高了算法的收敛速度和计算精度。
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  chaos optimization algorithm
This paper proposes a new search strategy using imitative scale chaos optimization algorithm (MSCO) for model selection of support vector machine (SVM).
      
Model selection for svm using imitative scale chaos optimization algorithm
      
The chaos optimization algorithm was used to help the gradient regularization method to escape from local optima in the hybrid algorithm.
      
Combining the chaos optimization algorithm with the gradient regularization method, a chaos-regularization hybrid algorithm was proposed to solve the established numerical model.
      


Real-time and accurate traffic flow forecast is very important to the intelligent traffic guidance, control and management. According to the characteristics of traffic flow, this paper proposes a new model of traffic flow forecast based on wavelet networks and the forecast algorithm of comparable time intervals. The structures of wavelet networks are optimized by a modified chaos optimization algorithm. The experiment results show that this model is superior to the common BP neural networks in the aspects...

Real-time and accurate traffic flow forecast is very important to the intelligent traffic guidance, control and management. According to the characteristics of traffic flow, this paper proposes a new model of traffic flow forecast based on wavelet networks and the forecast algorithm of comparable time intervals. The structures of wavelet networks are optimized by a modified chaos optimization algorithm. The experiment results show that this model is superior to the common BP neural networks in the aspects of flow forecasting precision and network convergence.

实时准确的交通流量预测是实现智能交通诱导及控制的前提与关键,也是智能化交通管理的客观需要.结合交通流预测的特点,提出了一种基于小波网络的路段交通流预测方法,把混沌优化算法引入小波网络的拓扑构造,结合提出的相似时段的预测思想,给出了一种基于混沌优化算法的小波网络交通流量预测模型.实验结果表明,引入相似时段的预测思想可以有效提高交通流的预测精度,基于混沌优化算法的小波网络在交通流预测的精度和收敛速度方面明显优于常规BP网络

Under the conditions of given intersection space de sign and signal phases and with the restriction of traffic delays (level of serv ice) of motor vehicles and non-motor vehicles, this paper presents an optimizat ion model for the maximum motor vehicle traffic capacity using the traffic flow control theory. And the model is solved by a hybrid algorithm, which combines g enetic algorithm with chaos optimization algorithm. The results of actual calcul ation indicate that the theory value and practice value...

Under the conditions of given intersection space de sign and signal phases and with the restriction of traffic delays (level of serv ice) of motor vehicles and non-motor vehicles, this paper presents an optimizat ion model for the maximum motor vehicle traffic capacity using the traffic flow control theory. And the model is solved by a hybrid algorithm, which combines g enetic algorithm with chaos optimization algorithm. The results of actual calcul ation indicate that the theory value and practice value of the optimization mode l are high. New ideas and methods are provided for the coordinate and optimal co ntrol of the traffic flows in signalized intersections.

运用交通流控制理论建立了在交叉口空间渠化及信号相位相序给定的条件下,考虑机动车与非机动车的延误(服务水平)约束条件,机动车通行能力最大的优化模型,并利用遗传算法及混沌优化算法互补的混合优化算法对模型进行了优化计算.实际优化计算结果表明,文中的优化模型及其混合算法具有较高的理论价值及实用价值,本次研究为信号交叉口交通流的协调控制优化研究提供了新思路和新方法.

To find a set of optimization design parameters and obtain both economic and safe purpose,the hybrid particle swarm optimization(PSO) algorithm was used in optimization design of soil-nail bracing for deep excavations.The cost of soil-nail material in one unit length of wall was taken as the objective function.Authors incorporated chaos optimization algorithm into the PSO algorithm,and proposed a new PSO algorithm based on chaos searching.The proposed algorithm has not only the...

To find a set of optimization design parameters and obtain both economic and safe purpose,the hybrid particle swarm optimization(PSO) algorithm was used in optimization design of soil-nail bracing for deep excavations.The cost of soil-nail material in one unit length of wall was taken as the objective function.Authors incorporated chaos optimization algorithm into the PSO algorithm,and proposed a new PSO algorithm based on chaos searching.The proposed algorithm has not only the simple implement of original PSO algorithm,but also the fast convergence and high computational precision of chaos optimization algorithm.The result of experimentation shows that the proposed approach,which is indeed capable of obtaining higher quality solutions efficiently,can optimize the design of the soil-nail bracing,and it is effective.

为了在土钉支护设计中寻找一组最佳设计参数,以达到既经济又安全的目的,将混沌搜索的粒子群优化(PSO)算法应用到基坑土钉支护优化设计中,以单位长度土钉墙的土钉材料造价作为优化的目标函数。该方法保持了PSO算法结构简单的特点,改善了PSO算法的全局寻优能力,提高了算法的收敛速度和计算精度。同时,对不活动粒子的处理使算法避免了早熟现象的出现。工程实例计算表明:该方法是进行土钉支护结构优化设计的有效方法。

 
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