In this paper we establish a network optimization model for this practical problem, and study its basic properties and algorithmic aspects.
论文建立此类问题的网络优化模型，并研究其基本性质及算法问题。
Finally, considering demand random and inventory controlling, sets a based-on-inventory controlling non-fresh produce distribution network optimization model, analyzes and comments on it.
最后，文章对另一类非生鲜农产品，考虑需求离散、分销中心库存成本，设计基于库存控制的非生鲜农产品分销网络优化模型，并对模型进行分析和评价。
With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.
本文从神经网络模型的结构出发，对学习算法提出了一系列改进和优化措施，以加快网络的学习速度，并增加模型的稳定性。
An optimization model to find the lowest budget schedule of network planning is established under the assumption that the time-cost relationship is nonlinear.
在时间-费用关系为非线性的假设下，建立求网络计划最低成本日程的优化模型。
The Scheme Choice Optimization Model was expounded based on coordinating agent to meet the need of dynamic network information security management.
根据网络动态信息安全管理的需求，提出了协调代理的方案选择优化数学模型。
To get the optimum solution for the planning, I construct a model of resource optimization for spliced network planning, and design Adaptive Ant Colony Algorithm to solve it.
为得到最优计划方案，针对搭接网络计划，建立了资源均衡优化的数学模型，并设计了自适应蚁群系统的求解算法与实现过程。
To express integrated optimization of multiple hubs location and mixed network design, a bi-level programming model was introduced for mathematical models.
为了描述多枢纽选址与混合网络设计综合优化问题，引入了双层规划模型建立数学模型。
In order to correct the measuring results of moisture from microwave resonator, the IA-BP optimization algorithm based evolutionary neural network model is presented.
为了对微波谐振腔含水率测量结果进行校正，提出一种基于IA - BP优化算法的进化神经网络模型。
Based on the assumptions and principles of network optimization problems, the real problem is, first, formulated mathematical model. It will be solved with the help of computers.
首先将实际问题按照网络最优化问题的一般假设和原理建立数学模型，用计算机程序进行求解。
The Chaotic neural network model can be used to solve many multi-dimensioned, discrete, non-convex, nonlinear constrained optimization problems.
基于混沌神经网络模型可以有效地解决高维、离散、非凸的非线性约束优化问题。
According to the city road network capacity restriction, Put forward the optimization model of the traffic target structure, and analyze the meaning of the model.
提出基于城市道路网络容量约束下的交通目标结构优化模型，分析了模型的意义。
Based on the assumptions and principles of network optimization problems, the real problem is, first, formulated mathematical model.
首先将实际问题按照网络最优化问题的一般假设和原理建立数学模型，用计算机程序进行求解。
In the third part, the prediction model of fuzzy optimal selection neural network based on chaotic optimization algorithm is studied.
第三部分对基于混沌优化算法的模糊优选神经网络预测模型进行研究。
Furthermore, the mathematics model of the topological optimization design of air defense multisensor network, as well as its solving method, are put forward.
最后给出了防空多传感器网络拓扑优化设计的数学模型及其求解方法。
For network planning, resource optimization was put forward, and a mathematical model of resource optimization was set up.
在网络计划中提出了资源优化问题，并建立了资源优化数学模型。
The network flow model is an important kind of model of CIMS, and bottleneck analysis based on network flow model is important to analysis and optimization of CIMS.
网络流模型是CIMS的一种重要模型，基于网络流模型的瓶颈分析对于CIMS的分析和优化具有重要意义。
Combining grading method with chaotic optimization, the neural network model achieves rapid training and avoids local minimum when there are a lot of samples to be trained.
考虑神经网络在训练大规模样品时易陷入局部极小，用梯度下降法与混沌优化方法相结合，使神经网络实现快速训练的同时，避免陷入局部极小。
As for the inadequate of BP neural network, PSO algorithm is used for its optimization, thus creating a hybrid neural network model for flood forecasting.
针对BP神经网络的不足，采用P SO算法对BP神经网络进行优化，建立一个混合的神经网络洪水预测模型。
Then, an empty-car service time-space network is created, and a multi-stage optimization model of empty car distribution un.
基于空车服务时空网络的构建，采用动态规划方法提出了铁路局（公司）管内空车调配的多阶段策略优化模型。
A case study shows that the optimization model is superior to CPM network model.
实例验证结果表明，该优化模型优于CPM网络模型。
In the algorithm, the radial-basis function neural network (RBFNN) is utilized as forward model, and the IGLSA is used to solve the optimization problem in the inverse problem.
该算法中，径向基函数神经网络(RBFNN)用作前向模型，IGLSA用于求解逆问题中的优化问题。
Secondly, a load-transfer optimization model considering both DG output and distribution network reconfiguration was proposed, aiming at reducing comprehensive costs for power company.
其次，提出负荷转供优化模型，综合考虑了DG 发电和配网重构来降低供电企业综合负荷转供成本；
A mathematical model of the whole network traffic optimization was established, and HDCA algorithm was designed in terms of the mathematical model's hierarchies.
给出全网流量优化的数学模型，并根据该模型内在的层次性，设计了分布式自适应流量工程算法。
On the basis of researching the optimization of neural network through ant colony algorithm, the mine hoist reducer gear failure diagnosis model is established.
在研究蚁群优化神经网络训练算法的基础上，建立了矿井提升机减速器齿轮故障诊断模型。
The neural network is used as predictive model. Golden Section is used in the optimization of controller. The variable searching region is set by the constraints of system inputs.
该算法以神经网络作为预测模型，以黄金分割法用于优化控制器，其中以系统输入的约束条件作为黄金分割法的动态搜索区间。
To avoid the above disadvantage, a two-level optimization algorithm was proposed according to the characters of the reactor network model based on continuous stirred-tank reactors(CSTR).
反应器网络综合问题一般都是复杂的非线性规划问题，在分析基于全混流反应器的反应器网络模型特点的基础上，提出了求解该模型的双层优化算法。
Minimizing total production and logistic costs within the supply network was considered as the objective function. This modified model can be solved using standard optimization software.
该模型基于混合整数线性规划模型，以供应网络内总生产成本和物流成本最小化作为目标函数，并应用标准优化软件求解。
This article USES TS to solve cold chain network optimization and builds the quality and total cost model, by considering the special feature of the cold chain fully.
本文应用TS来解决冷链网络优化问题，充分考虑到冷链的特殊性，建立了质量和成本模型。
This article USES TS to solve cold chain network optimization and builds the quality and total cost model, by considering the special feature of the cold chain fully.
本文应用TS来解决冷链网络优化问题，充分考虑到冷链的特殊性，建立了质量和成本模型。
应用推荐