搜索资源列表
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1下载：
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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Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a s
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0下载：
Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a s
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0下载：
Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a s
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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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粒子群算法的寻优算法-非线性函数极值寻优,将全局寻优与局部寻优结合起来-Particle swarm optimization algorithm- nonlinear function optimization extreme, the global optimization and local optimization combined
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粒子群优化算法，主要用于求解非线性函数的最值问题。-Particle swarm optimization algorithm, mainly used to solve the nonlinear function best value problems.
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粒子群算法的寻优算法，非线性函数极值寻优，MATLAB的经典算法-Particle swarm optimization algorithm, nonlinear function optimization extreme, MATLAB classical algorithm
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神经网络粒子群算法的寻优算法非线性函数极值寻优-Particle swarm optimization algorithm for nonlinear function extremum optimization
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粒子群算法的寻优算法，非线性函数极值寻优，matlab中运行的m文件-The optimization algorithm particle swarm algorithm, extreme nonlinear function optimization, m file in MATLAB
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粒子群算法的寻优算法-非线性函数极值寻优-Particle swarm optimization algorithm- extreme nonlinear optimization
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该压缩包包含神经网络在MATLAB里的应用：
1、非线性函数拟合
2、RBF网络-非线性函数回归
3、粒子群算法非线性极值寻优
4、神经网络极值寻优
5、神经网络建模自变量降维
6、BP网络-非线性函数回归-The archive contains neural network in MATLAB: 1, non-linear function fitting 2, RBF network- 3 nonlinear function regression, nonline
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粒子群优化算法的寻优算法-非线性函数极值寻优-Optimization algorithm of particle swarm optimization algorithm for optimization of nonlinear function
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粒子群算法的寻优算法 -非线性函数极值寻优-Particle Swarm Optimization Algorithm - Extreme nonlinear function optimization
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8下载：
基于matlab环境下的混沌粒子群优化算法源程序，用于求解多种优化（线性、非线性等）问题。-Optimization based on chaotic particle swarm algorithm source matlab environment, used to solve a variety of optimization (linear and nonlinear) problems.
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用MATLAB实现自适应神经模糊推理系统（ANFIS）结构训练。代码中，首先创建一个初始原ANFIS结构，然后采用遗传算法（GA）、粒子群优化（PSO）来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。-Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS struct
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通过粒子群算法对非线性函数的极值进行求解(The extremum of the nonlinear function is solved by particle swarm optimization)
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根据粒子群算法原理，在MATLAB上完成非线性函数的极值寻优。(According to the principle of particle swarm optimization algorithm, the extremum of nonlinear function is optimized on MATLAB.)
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6下载：
一种粒子群算法，可以优化具有线性约束、非线性约束、等式约束、有界约束的问题，使用方法与MATLAB自带的GA算法类似（搬运）(A particle swarm optimization algorithm can optimize the problems with linear constraints, nonlinear constraints, equality constraints and bounded constraints. The method is similar to th
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基于粒子群算法求解低速车辆模型的非线性模型预测控制问题(The nonlinear model predictive control problem of low-speed vehicle is solved based on particle swarm optimization (pso))
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