自学习算子,self-learning operator英语短句,例句大全

自学习算子,self-learning operator
1)self-learning operator自学习算子
1.A particle swarm optimization algorithm with self-learning operator is designed to tackle the traveling salesman problem.针对旅行商问题,提出了一种带自学习算子的粒子群优化算法,根据旅行商问题及离散量运算的特点,对粒子的位置、速度等量及其运算规则进行了重新定义,为抑制早熟停滞现象,定义了变异速度来保持粒子群的多样性,使用自学习算子来提高算法的局部求精能力,使算法在空间探索和局部求精间取得了较好的平衡,与领域中的其它典型算法进行了仿真比较,结果表明,该算法具有良好的性能。
2.In this paper,the CSA was improved in following sides:(1) self-learning operator of immune network was introduced to enhance local exploitation ability; (2) uniform design method was adopted to generate the initial antibodies; (3) separation method of objective and constraints was introduced to handle state-variable constraints.为此,拟引入免疫网络自学习算子,均匀设计方法,以及目标与约束分离的处理机制,构建改进的克隆选择算法(ICSA),并将其用于状态变量带约束的间歇反应器和乙醇生物反应器的动态优化等实例,效果良好。
3.To improve the efficiency of the Particle Swarm Optimization,self-learning operator is constructed.本文利用粒子群优化算法求解VRP,为了提高求解效率,通过构造自学习算子、微粒的重新编码及运算规则的重新定义,使PSO算法能够处理离散问题,把微粒群算法应用于VRP问题的求解中,通过仿真证明了提出方法求解VRP问题的有效性和优越性。
2)study operator学习算子
1.An improved genetic algorithm based on"approximative elite","study operator"and"chaos operator"has been presented in this paper according to the features of reactive power optimization in power system.根据电力系统无功优化问题的特点,提出了一种基于近似最优个体、学习算子和浑沌算子的改进遗传算法。
2.An improved genetic algorithm based on examples array,study operator and study probability,which can solve network re- configuration effectively,has been presented in this paper.提出了一种基于“学习范例数组”、“学习算子”和“学习率”的改进遗传算法,可以有效地解决配电网络重构问题。
3.To solve the global optimization problem of non-linear programming,an improved genetic algorithm with study operator is proposed in this paper.为了解决非线性规划问题的全局优化问题,该文提出利用具有学习算子的遗传算法来进行求解。
3)learning operator学习算子
1.By application of optimized learning operator, the convergence speed of the objective function has been fasted and the oscillation problem of objective function has also been solved during the iteration.在网络训练过程中采用改进的 BP算法 ,通过对学习算子的优化搜索 ,大大提高了网络的收敛速度 ,解决了 BP算法迭代过程中目标函数振荡问题。
2.This paper presents hybrid gcnetic algorithm with learning operator for the nonlincar programming problems, which has the feature of converging to the optimization and high converence speed.本文针对一般形式的非线性规划问题，提出一种具有学习算子的混合遗传算法，该算法具有收敛速度快且能收敛于最优解等特点。
3.A repulsion operator is designed to keep the diversity of particle swarm,and an efficient learning operator is defined to improve the a.以旅行商问题为例,提出了一种离散粒子群优化算法,根据优化问题及离散量的特点,对粒子的位置、速度等量及其运算规则进行了重新定义,为抑制早熟停滞现象,为粒子和粒子群分别定义了个体多样性和微观多样性,算法中定义了排斥算子来保持粒子群的多样性,使用高效的学习算子来提高算法的局部求精能力,使算法在空间探索和局部求精间取得了很好的平衡,与领域中的其它典型算法进行了仿真比较,结果表明,离散粒子群优化算法具有很好的性能。
4)Learning Algorithm of Autonomic Learning Subspace自主学习子空间学习算法
1.Research and Application on Learning Algorithm of Autonomic Learning Subspace Based on DFL;基于DFL的自主学习子空间学习算法及应用研究

英文短句/例句

1.Research and Application on Learning Algorithm of Autonomic Learning Subspace Based on DFL;基于DFL的自主学习子空间学习算法及应用研究
2.Innovating upon Chinese Teaching Mode and Giving Students the Space of Self-study;创新语文教学模式还学生自主学习空间
3.Space·Platform·Opportunity--the Application of Initiative and Exploratory Study in Teaching;空间·平台·机会——“自主探究式学习"在教学中的运用
4.Research and Application on Orbits Generated Algorithm of Learning Subspace in Lie-Group Machine Learning (LML);李群机器学习（LML）子空间轨道生成算法及应用研究
5.Comprehensive Learning Particle Swarm Optimization Algorithm with Adaptive Mutation自适应变异综合学习粒子群优化算法
6.Adaptive Object Tracking with Incremental Tensor Subspace Learning基于增量张量子空间学习的自适应目标跟踪
7.Compensating Learning Control for Free-floating Space Robot System with Dual-Arms Using Genetic Algorithm in Joints Space基于遗传算法双臂空间机器人关节空间补偿学习控制
8.The Analyzing and Application of Dimensionality Reduction Based on Manifold Learning and Subspace基于流形学习与子空间的降维方法研究与应用
9.Human Action Recognition Based on Tensor Subspace Learning基于张量子空间学习的人行为识别方法
10.Research on Chinese Text Classification Algorithm Based on Active Learning Approach;基于自主学习的中文文本分类算法研究
11.Autonomous Language Learning in CALL Environments;计算机辅助语言学习环境下的自主语言学习
12.Learner Autonomy Established in CALL Environment;在计算机辅助语言学习环境中培养学习自主性
13.Promoting Learners’ Initiative Learning by Constructing “Learning Community”;构建“学习共同体” 促进学习者自主学习
14.Relationship between the Individual Differences and Learning Strategies in Learner Autonomy;个体差异和学习策略之间的关系与自主学习
15.Cultivation of Autonomous Study Abilities for Students with Computer Major;计算机专业学生自主学习能力的培养
16.Investigation on influence of case learning method on autonomic learning ability of students案例学习法对学生自主学习能力影响的研究
17.Research on Current Learning Adaptive Hybrid Discrete Particle Swarm Optimization Algorithm当代学习自适应混合离散粒子群算法研究
18.Self-regulated Learning and Its Significance in Maths Learning;自主学习及数学自主学习的现实意义

相关短句/例句

study operator学习算子
1.An improved genetic algorithm based on"approximative elite","study operator"and"chaos operator"has been presented in this paper according to the features of reactive power optimization in power system.根据电力系统无功优化问题的特点,提出了一种基于近似最优个体、学习算子和浑沌算子的改进遗传算法。
2.An improved genetic algorithm based on examples array,study operator and study probability,which can solve network re- configuration effectively,has been presented in this paper.提出了一种基于“学习范例数组”、“学习算子”和“学习率”的改进遗传算法,可以有效地解决配电网络重构问题。
3.To solve the global optimization problem of non-linear programming,an improved genetic algorithm with study operator is proposed in this paper.为了解决非线性规划问题的全局优化问题,该文提出利用具有学习算子的遗传算法来进行求解。
3)learning operator学习算子
1.By application of optimized learning operator, the convergence speed of the objective function has been fasted and the oscillation problem of objective function has also been solved during the iteration.在网络训练过程中采用改进的 BP算法 ,通过对学习算子的优化搜索 ,大大提高了网络的收敛速度 ,解决了 BP算法迭代过程中目标函数振荡问题。
2.This paper presents hybrid gcnetic algorithm with learning operator for the nonlincar programming problems, which has the feature of converging to the optimization and high converence speed.本文针对一般形式的非线性规划问题，提出一种具有学习算子的混合遗传算法，该算法具有收敛速度快且能收敛于最优解等特点。
3.A repulsion operator is designed to keep the diversity of particle swarm,and an efficient learning operator is defined to improve the a.以旅行商问题为例,提出了一种离散粒子群优化算法,根据优化问题及离散量的特点,对粒子的位置、速度等量及其运算规则进行了重新定义,为抑制早熟停滞现象,为粒子和粒子群分别定义了个体多样性和微观多样性,算法中定义了排斥算子来保持粒子群的多样性,使用高效的学习算子来提高算法的局部求精能力,使算法在空间探索和局部求精间取得了很好的平衡,与领域中的其它典型算法进行了仿真比较,结果表明,离散粒子群优化算法具有很好的性能。
4)Learning Algorithm of Autonomic Learning Subspace自主学习子空间学习算法
1.Research and Application on Learning Algorithm of Autonomic Learning Subspace Based on DFL;基于DFL的自主学习子空间学习算法及应用研究
5)Self-learning algorithm自学习算法
1.Knowledge library can be built and weights can be adjusted using Self-Learning algorithm, eventually The most precise target and evaluation function can be gotten to direct the strategy of robot.本文介绍了基于自学习算法的足球机器人决策过程中选择最优目标点的设计,使机器人从诸多候选点中选出评价最优的点作为目标点,并通过自学习算法建立知识库,对权值不断修正,最终得到较精确的点的评价函数,指导机器人的决策。
6)self learning algorithm自学习算法
1.In view of the characteristics of pH value,a self learning algorithm is proposed,and a self learning expert controller which being fit for controlling pH value is designed.针对ｐＨ值控制特点，提出一种自学习算法并设计了适于ｐＨ值控制的自学习专家控制器。
2.The realizaton of self learning algorithm with Field Programmable Gate Arrays(FPGA) technique is studied.介绍复合神经网络模型及特性，讨论了基于假逆矩阵的自学习算法，研究用现场可编程门电路（ＦＰＧＡ）实现复合神经网络的自学习过程，电路设计成半并行全数字式。