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运用snmp协议编程,迅速查找所在子网及相邻子网的网络拓扑结构,采用优化算法,速度快-use snmp programming agreement quickly identify where subnetworks and the adjacent subnet the network topology, using optimization algorithms, faster
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BP算法是为了解决多层前向神经网络的权系数优化而提出来的;所以,BP算法也通常暗示着神经网络的拓扑结构是一种无反馈的多层前向网络-BP algorithm is to solve the multi-layer feedforward neural network weights optimization and put forward Therefore, BP algorithm usually implies that the topology of neural network is
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BP算法是为了解决多层前向神经网络的权系数优化而提出来的;所以,BP算法也通常暗示着神经网络的拓扑结构是一种无反馈的多层前向网络-BP algorithm is to solve the multi-layer feedforward neural network weights optimization and put forward Therefore, BP algorithm usually implies that the topology of neural network is
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,本文提出了一种基于遗传算法的双T—Snake模型图像分割方法,它将双T—Snake模型解作为遗传算法的搜
索空间,这既继承了T—Snake模型的拓扑改变能力,又加快了遗传算法的收敛速度。由于它利用遗传算法的全局优
化性能,克服了Snake轮廓局部极小化的缺陷,从而可得到对目标的更精确的分割。将其应用于左心室MRI图像
的分割,取得了较好的效果。-This paper presents a genetic algorithm based on dual-T-Snake model f
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区间参数压电智能桁架一体化多目标拓扑优化.-The integration interval parameters of piezoelectric intelligent truss topology multi-objective optimization.
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区间参数压电智能桁架一体化多目标拓扑优化.-The integration interval parameters of piezoelectric intelligent truss topology multi-objective optimization.
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此段程序是一套完整的设计程序(包括拓扑图、分析表),运用遗传算法优化解决路径规划问题。-The procedures of this section is a complete set of design procedures (including topology, analysis, table), the use of genetic algorithm optimization to solve the path planning problem.
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描述了一个完全的第一个示范 集成Doherty功率放大器(PA)的单片微波 后失真线性集成电路(MMIC) 毫米波(毫米波)频段。 Doherty放大器 单片,使用0.15米的GaAs HEMT的过程中,实现了小 7 dB的信号增益从38至46千兆赫,具有结构紧凑的芯片尺寸 2毫米 2 。 Doherty放大器的饱和输出功率 21.8 dBm的。 Doherty放大器之间的相似拓扑 和后失真线性化,使人们有可能改善 同时在毫米波功率放大器设计的效率和线性度。 门的主要和峰值放大器偏置优化后, 漏
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针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足,本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化,并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率,提高解的精确,同时还保持了较低的计算复杂度,具有良好的稳健性。-TSP problem solving for the traditional algorithms such as genetic alg
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遗传算法优化神经网络GA_NN.C语言,同步进化BP网络的拓扑结构和连接权值,避免了网络结构的选择和设计,非常实用。-Genetic algorithm optimization neural network GA_NN.C language, synchronization topology and evolution BP network connection weights, avoiding the selection and design of the network structur
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基于符号运算推导Q8单元刚度矩阵的连续体结构三维拓扑优化程序,由香港中文大学王煜教授开发。-A 177 line program for the mean compliance optimization of structural topology
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A topology control approach for utilizing multiple channels in multi-radio wireless mesh networks We consider the channel assignment problem in a multi-radio wireless mesh network that
involves assigning channels to radio interfaces for achieving e
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该方法实现了一种实时的由粗到细的超像素分割,是cvpr2015的一篇paper,该方法的效果非日常的好。指得大家学习和借鉴。-In this paper, we tackle the problem of unsupervised segmentation in the form of superpixels. Our main emphasis is
on speed and accuracy. We build on [31] to define the problem as a bou
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武汉大学陆君安小组复杂网络研究报告PPT,含复杂网络的优化牵制控制与拓扑识别,网络传播中最具影响力的节点(Complex Network Research Report, including complex network optimization, pinning control and topology identification, the most influential nodes in network communication)
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连续Hopfield神经网络的拓扑结构和离散Hopfield神经网络的结构类似,连续Hopfield网络和离散Hopfield网络的不同点在于其传递函数不是阶跃函数,而是连续函数,该程序基于旅行商问题优化计算。(The topology of continuous Hopfield neural network is similar to that of discrete Hopfield neural network. The difference between continuous Hop
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