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Description: 应用随机微粒群算法学习一个神经网络的权值.网络训练和测试数据采自一实际非线性系统.-Application of stochastic particle swarm optimization learning a neural network weights. Network training and test data collected from a practical nonlinear systems.
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Size: 3072 |
Author: duyl |
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Description: 应用随机微粒群算法求解一个六元的非线性方程组.-Application of random particle swarm algorithm for a six-million nonlinear equations.
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Size: 2048 |
Author: duyl |
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Description: 使用协同微粒群和随机微粒群结合的算法求解一个六元的非线性方程组.-Use of synergies and random particle swarm particle swarm algorithm combining a six-million nonlinear equations.
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Size: 2048 |
Author: duyl |
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Description: 摘 要:在分析人工鱼群算法存在不足的基础上,对人工鱼群算法加以改进,提出了一种改进型人工鱼群算
法。该算法提高了全局搜索能力和收敛速度,并用于求解具有变量边界约束的非线性复杂函数最优化问题。
仿真结果表明,改进后的人工鱼群算法具有精度高、搜索速度快等特点,是一种求解复杂函数全局最优化的智
能算法。
-Abstract: In analyzing the deficiencies of artificial fish-swarm algorithm based on improved artificial fish-swarm algorithm, an improved artificial fish-swarm algorithm. The algorithm improve the global search ability and convergence speed, and used to solve the border with variables constrained nonlinear optimization problem of complex functions. The simulation results show that the improved artificial fish-swarm algorithm with high precision, fast search, etc., is a complex function for solving global optimization of the intelligent algorithm.
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Size: 25600 |
Author: duweijie |
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Description: 摘 要:在分析人工鱼群算法存在不足的基础上,对人工鱼群算法加以改进,提出了一种改进型人工鱼群算
法。该算法提高了全局搜索能力和收敛速度,并用于求解具有变量边界约束的非线性复杂函数最优化问题。
仿真结果表明,改进后的人工鱼群算法具有精度高、搜索速度快等特点,是一种求解复杂函数全局最优化的智
能算法
-Abstract: In analyzing the deficiencies of artificial fish-swarm algorithm based on improved artificial fish-swarm algorithm, an improved artificial fish-swarm algorithm. The algorithm improve the global search ability and convergence speed, and used to solve the border with variables constrained nonlinear optimization problem of complex functions. The simulation results show that the improved artificial fish-swarm algorithm with high precision, fast search, etc., is a complex function for solving global optimization of the intelligent algorithm
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Size: 189440 |
Author: duweijie |
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Description: 粒子群的优化算法，不仅可以方便地解决无约束优化问题，也可以方便的解决有约束的非线性优化问题。-Particle Swarm Optimization algorithm, not only can easily solve the unconstrained optimization problem can also be convenient to solve constrained nonlinear optimization problem.
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Size: 5120 |
Author: lxd |
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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: 粒子群算法 寻优算法非线性函数 极值 寻优-Particle Swarm Optimization Algorithm for the optimization of nonlinear function extremum
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Size: 2048 |
Author: guanyouyuan |
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Description: 病态方程组的算法研究，人工鱼群算法在求解非线性方程组中的应用-Morbid equation algorithm, artificial fish swarm algorithm for solving nonlinear equations of
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Size: 196608 |
Author: 乐天下 |
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Description: 基于改进粒子群优化算法的非线性摄像机标定
Non2Linear Camera Calibration Based on
an Imp roved PSO Algorit hm
王德超,涂亚庆-Improved particle swarm optimization based on nonlinear calibration Non2Linear Camera Calibration Based on an Imp roved PSO Algorit hm Wang Chao, Tu Ya Qing
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Size: 277504 |
Author: 姜欣 |
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Description: 本文提出了一种新的基于细菌生存优化(Bacterial Foraging Optimization –BFO)的非线性模型辨识方法。它是利用群集智能仿生BFO算法对一类Hammerstein系统进行辨识，从而估计出它的参数模型-This paper presents a new optimization based on bacterial survival (Bacterial Foraging Optimization-BFO) nonlinear model identification methods. It is the use of bionic swarm intelligence algorithm for a class of BFO Hammerstein system identification, to estimate the parameters of its model
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Size: 75776 |
Author: 黄伟锋 |
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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- Extreme nonlinear function optimization
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Size: 2048 |
Author: lucy |
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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: 非线性约束优化问题的混合粒子群算法Nonlinear constrained optimization algorithm for hybrid particle swarm-Nonlinear constrained optimization algorithm for hybrid particle swarm
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Size: 596992 |
Author: zi6xin |
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Description: 用python语言实现粒子群算法，此处用来求解几道非线性式子-Particle swarm algorithm， python language， here used to solve several nonlinear equations
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Size: 1024 |
Author: 李欣怡 |
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Description: 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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Size: 2048 |
Author: 秦伟 |
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Description: Abstract A particle swarm optimization method with nonlinear
time-varying evolution (PSO-NTVE) is employed in
designing an optimal PID controller for asymptotic stabilization
of a pendubot system. In the PSO-NTVE method,
parameters are determined by using matrix experiments
with an orthogonal array, in which a minimal number of
experiments would have an effect that approximates the full
factorial experiments.
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Size: 274432 |
Author: med |
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Description: 粒子群算法的寻优算法实现非线性函数极值寻优。-Particle swarm optimization algorithm to achieve extreme nonlinear optimization.
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Size: 2048 |
Author: |
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Description: 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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Size: 2048 |
Author: L_F |
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