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Description: 用粒子群算法来优化RBF神经网络权值，使神经网络有更好的非线性函数逼近能力-Using particle swarm optimization to optimize the RBF neural network weights, so that neural network has better ability of nonlinear function approximation
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Size: 3072 |
Author: 史峰 |
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Description: 标准粒子群算法求解非线性方程，用MATLAB实现，并出仿真结果-The standard particle swarm algorithm for solving nonlinear equations, using MATLAB to achieve, and the simulation results
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Size: 5120 |
Author: cathy |
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Description: pso求解非线性规划问题VB 源码,通过三个实例分析，程序通用性很好。强烈推荐-pso for solving nonlinear programming problems VB source code, through three case studies, procedural general is very good. Strongly recommended
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Size: 20480 |
Author: 崔立洲 |
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Description: 粒子群算法的matab程序
可以求解带非线性约束的优化问题-a pso code which can slove optimization problems with nonlinear constraints.
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Size: 26624 |
Author: yxl |
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Description: OPTIMAL CAPACITOR PLACEMENT ON RADIAL DISTRIBUTION FEEDERS IN
PRESENCE OF NONLINEAR LOADS USING BINARY PARTICLE SWARM
OPTIMIZATION
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Size: 438272 |
Author: reznvtb |
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Description: 标准pso算法，能够解很多非线性方程，效果不错，不过很容易陷入局部循环-Standard pso algorithm, can solve many nonlinear equations, the effect is good, but very easy to fall into the local loop
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Size: 1024 |
Author: 谢阳 |
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Description: 用PSO算法（粒子群算法）求解非线性方程组-Using PSO ( particle swarm optimization ) algorithm for solving nonlinear equations
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Size: 252928 |
Author: ohyes |
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Description: 用例子群算法来求解非线性问题的在固定区间上的最优解-Examples swarm optimization for solving nonlinear problems in the optimal solution on a fixed interval
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Size: 4096 |
Author: 程序菜鸟 |
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Description: 基于粒子群优化算法的非线性函数极值寻优,这里的适应度函数为Ackley函数，适应度值为函数值。根据初始粒子适应度值确定个体极限和群体极限。-Nonlinear function based on particle swarm optimization extremal optimization, where the fitness function for the Ackley function, the value of the fitness function value. According to the initial particle fitness value to determine the limit of individual limit and groups.
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Size: 67584 |
Author: 葭月 |
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Description: 粒子群算法的寻优算法-非线性函数极值寻优-Particle swarm algorithm optimization algorithm- a nonlinear function extremum optimization
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Size: 2048 |
Author: suua |
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Description: ＢＰ神经网络具有较强的非线性问题处理能力 是目前一 种 较 好 的 用 于 时 间 序 列 预 测 的 方 法 然 而 它 存 在 易 于 陷 入 局 部 极 小,针对地震预测的应用,用改进粒子群优化的ＢＰ算法对四川地区最大震级时间序列进行预测,通过训练 预 测 次 年 的 最 大 震 级 结 果,表明此方法优于未经优化的 ＢＰ算法具有良好的预测效果 -BP neural network has a strong nonlinear problems processing power is a method for time series prediction, however it is easy to fall into local minimum, the application for earthquake prediction, BP algorithm with improved particle swarm optimization Sichuan maximum magnitude time series prediction by training the forecast for the following year the results of the maximum magnitude, indicating that this method is better than the non-optimized BP algorithm has good predictive
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Size: 214016 |
Author: mali |
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Description: 粒子群算法 可以进非线性优化 是优化计算中很有用的智能算法 有代码-Particle swarm algorithm into a nonlinear optimization optimization calculation must understand intelligent algorithm code
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Size: 5120 |
Author: 小小 |
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Description: 基于粒子群优化算法PSO的非线性函数极值寻优-Based on Particle Swarm Optimization PSO optimization extreme nonlinear function
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Size: 2048 |
Author: 下雨 |
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Description: 粒子群优化的基本算法，利用该方法求解非线性方程组-The basic particle swarm optimization algorithm, using this method for solving nonlinear equations
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Size: 1024 |
Author: blueice |
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Description: 采用改进的启发式搜索粒子群算法进行非线性寻优 具有比较好的效果-The improved heuristic search PSO nonlinear optimization has better results
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Size: 2048 |
Author: 秦志恒 |
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Description: 分别使用PSO和GA优化BP神经网络的参数，用于非线性函数拟合(PSO and GA are used to optimize the parameters of the BP neural network for nonlinear function fitting)
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Size: 55296 |
Author: 心愿2030
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Description: 粒子群算法的寻优算法-非线性函数极值寻优(Particle swarm optimization algorithm for Extremum seeking of nonlinear function)
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Size: 2048 |
Author: abcdxyz001
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Description: 2017- An improved PSO algorithm for parameter identification of nonlinear dynamic hysteretic models
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Size: 1115136 |
Author: hieuhuech1
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Description: 使用pso粒子群算法求解非线性方程组，用c语言实现(PSO Particle Swarm Optimization (PSO) is used to solve nonlinear equations and is implemented in C language)
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Size: 347136 |
Author: dxlm |
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Description: 在粗糙集与粒计算中，对于常见的几种非线性规划的函数，运用PSO算法求出了相应的决策属性的权重(In rough set and granular computing, PSO algorithm is used to calculate the weights of the corresponding decision attributes for the common functions of nonlinear programming)
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Size: 6144 |
Author: 格式化01 |
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