为了解决带预应力的组合结构拓扑优化问题，提出了组合结构优化算法的基本思想。
In order to deal with the problem of combined structural topology optimization, a basic algorithm idea is proposed.
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。
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.
针对配电网络结构和运行特点，提出一种计及安全约束和实际运行约束的支路互换算法，以实现网络优化重构。
An algorithm of branch interchange for realizing of power distribution network optimum reconfiguration is given in this paper, which takes the safety restrain and practical restrain into account.
而后结合频率灵敏度，基于渐进结构优化方法，建立了一套优化准则和算法。
Then, a set of optimization criteria and algorithms are set up based on frequency sensitivity and evolutionary structural optimization methods.
由于动态神经网络结构及权值确定困难，采用二进制与实数编码相结合的联合编码，用遗传算法优化得到神经网络结构及对应权值。
To rise above the difficulty of determining NN's structure and weights, the GA optimization algorithm is used to get them by combining binary encoding with real encoding.
本文讨论了有关华容道问题最优解的搜索策略、数据结构、算法优化及程序设计，并对程序运行结果作了分析。
On Optimal Solution of HuaRong Road, such as search strategy, data structures, algorithm optimization, programming are discussed. , then we analyze the results of program.
本文研究了模糊神经网络，用神经网络结构进行模糊推理，用BP算法调节和优化具有局部性的参数。
In this paper, fuzzy neural network was studied and fuzzy reasoning was realized by use of neural networks structure. BP algorithm is used to optimize local parameter.
介绍了遗传算法的结构、优化原理及操作流程；
The paper introduced Genetic Algorithm's structure, optimization principle and operating line.
寻找高度鲁棒的、高效率的优化问题求解算法始终是结构优化设计中一个重要的课题。
It has been very important to find very robust and very efficient algorithms for solving optimization problems at structural optimum design.
研究了MEMS器件结构参数的自动优化算法及其实现技术。
The automatic optimization algorithms of structural parameters of MEMS devices are studied.
研究了预处理模块、垃圾回收模块的结构与算法及代码优化的策略；
The structure and arithmetic of the Pretreatment module and GC(Garbage Collector) module are discussed. The strategy of the Optimization of Code are provided.
通过建立斜拉桥优化模型，运用结构分析方法，结合优化算法计算实例，对大跨度斜拉桥的动力优化设计进行了初步的探讨和研究。
Through building optimum model of truss Bridges, utilizing structural analysis methods and combining examples of optimum algorithms, the dynamic design of wide span truss Bridges is discussed.
将BP神经网络和遗传算法相结合运用于快速设计的结构优化问题。
BP neural networks and GA were applied to the optimal design of mechanical structure.
本文研究了蚁群优化算法在机器人结构空间规划的问题。
Ant colony optimization algorithms are investigated in this paper for robot planning in configuration space.
用神经网络计算遗传算法的适应度，对结构进行优化。
Using BP neural networks, the fitness of GA was calculated, on the basis of which the mechanical structure was optimized.
提出了一种利用遗传算法优化前向神经网络的结构和正则项系数的混合学习算法。
A hybrid learning approach is presented in which genetic algorithms are used to optimize both the network architecture and the regularization coefficient.
针对区域覆盖卫星星座的优化设计问题，设计了一种能同时优化星座结构和参数的进化算法。
This paper presents an evolutionary algorithm to simultaneously optimize constellation structure and parameters for regional coverage satellite constellation design.
压缩负荷和应力的优化结果与理论计算值的误差分别为7.4%、9%，因此，利用神经网络和遗传算法进行结构参数优化的方法是可行的。
The errors between optimization values and theoretic results of the compression load and stress are 7.4% and 9% respectively. This method is effective to optimize structural parameters.
程序员可以通过优化算法、数据结构和代码组织来提高软件的性能与效率。
A programmer can increase the performance and efficiency of the software by improving algorithm, data and code structures.
提出的自适应粒子群优化算法，用于优化多层前馈神经网络的拓扑结构，提高了神经网络的学习质量和速度。
The structure of multi-layer feedback forward neural network is optimized by improved PSO. Learning quality and training speed of the neural network are improved.
将相对差商法和混沌优化结合起来，形成求解离散变量桁架结构拓扑优化设计的混合算法。
A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.
将相对差商法和混沌优化结合起来，形成求解离散变量桁架结构拓扑优化设计的混合算法。
A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.
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