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Description: 一种基于神经网络与模拟退火算法的改进粒子群优化算法，是英文
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Author: 毛毛 |
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Description: function psobp
% BP neural network trained by PSO algorithm
% Copyright by Deng Da-Peng @ 2005
% Email: rexdeng@163.com
% You can change and distribute this code freely for academic usage
% Business usage is strictly prohibited
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Size: 6378 |
Author: taozehu@126.com |
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Description: 一种基于神经网络与模拟退火算法的改进粒子群优化算法，是英文-Based on neural network and simulated annealing algorithm to improve particle swarm optimization algorithm, is in English
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Author: 毛毛 |
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Description: 最新SD期刊上关于改进型PSO算法，我是通过学校内部数据库在SD下载的哦！包括《A dynamic inertia weight particle swarm optimization algorithm》、《Adaptive Particle Swarm Optimization》、《Cyber Swarm Algorithms – Improving particle swarm optimization using adaptive memory strategies》。这三篇都是比较有研究价值的学术文章，识货的请下载！-Particle swarm optimization (PSO) algorithm has been developing rapidly and has been applied widely since it was introduced, as it is easily understood and realized. This paper presents an improved particle swarm optimization algo-rithm (IPSO) to improve the performance of standard PSO, which uses the dynamic inertia weight that decreases according to iterative generation increasing. It is tested with a set of 6 benchmark functions with 30, 50 and 150 diff erent
dimensions and compared with standard PSO. Experimental results indicate that the IPSO improves the search perfor-mance on the benchmark functions signifi cantly.
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Author: asdwe |
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Description: 微粒群算法的权威书籍，曾建超编写，太原科技大学-IPSO and PSO
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Size: 1737728 |
Author: 陈科 |
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Description: An Improved PSO Algorithm to Optimize BP Neural Network
Abstract
This paper presents a new BP neural network
algorithm which is based on an improved particle swarm
optimization (PSO) algorithm. The improved PSO (which
is called IPSO) algorithm adopts adaptive inertia weight
and acceleration coefficients to significantly improve the
performance of the original PSO algorithm in global
search and fine-tuning of the solutions. This study uses the
IPSO algorithm to optimize authority value and threshold
value of BP nerve network and IPSO-BP neural network
algorithm model has been established. The results
demonstrate that this model has significant advantages
inspect of fast convergence speed, good generalization
ability and not easy to yield minimal local results
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Size: 252928 |
Author: dasu |
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Description: 提出了一种基于改进型微粒群算法的无线传
感器网络分簇路由算法来优化分簇过程。簇首节点的选取综合考虑候选节点和邻居节点的状态信息-Proposed a modified particle swarm algorithm based on wireless sensor network clustering routing algorithm to optimize the clustering process. Cluster head node, considering the selection of the candidate node and the neighbor node state information
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Author: Sherry |
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Description: i have coding for verilogHDL and VHDL. so please i want know that coding-i have coding for verilogHDL and VHDL. so please i want know that coding..
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Size: 2048 |
Author: a.deivaseelan |
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Description: 本文将 改进的PSO优化算法与 BP网络算法相结合, 完全
基于BP网络算法的基本思想, 是在基本 BP算法的误
差反向传播调整权值的基础上, 再引入 PSO 算法进行
权值修正, 是严格意义上的基于 PSO的 BP网络算法.-pso programming for improved bp neural network
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Size: 2048 |
Author: 李淋淋 |
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Description: 用免疫粒子群对压电陶瓷执行器进行模型辨识的一种方法-immune PSO
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Size: 2048 |
Author: 李红云 |
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Description: 一种改进的粒子群优化算法求解约束优化复杂问题-An improved particle swarm optimization algorithm for solving constrained optimization of complex problems!!
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Size: 291840 |
Author: li |
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Description: 粒子群算法及其优化算法，并可以实现相关功能-Particle swarm algorithm and its optimization algorithm, the relevant functions
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Size: 9216 |
Author: 夏小龙 |
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Description: 自己写的IPSO单目标搜索算法 内部已经带有4个测试函数以供测试 使用了拉丁方设计方法 和 自适应惯性权重-Write your own internal IPSO single target search algorithm has four test functions for testing with the use of the Latin square design and adaptive inertia weight
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Size: 2048 |
Author: MuW |
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Description: 是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。-It is an evolutionary optimization technique, derived the behavior of the birds of prey, is based on iterative optimization tools.
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Size: 2048 |
Author: 王峰 |
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Description: 结合LPSO和GPSO的优点，该MATLAB程序实现一种时变参数的改进粒子群优化（IPSO） 算法。在IPSO中，粒子在向全局最优和局部最优粒子学习的同时，还向种群中最优粒子学习，因此具有较强的全局寻优能力。-Combined with the advantages of LPSO and GPSO, the MATLAB program implements a modified particle swarm optimization (IPSO) algorithm with time-varying parameters. In IPSO, when the particle is learning the global optimum and the local optimal particle, it also has the ability of global optimization.
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Size: 12288 |
Author: 周鑫 |
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Description: MATLAB算法，粒子束优化算法(IPSO)，同时包含各种算法比较算法，ML、OSIC、IPSO(MATLAB algorithm, particle beam optimization algorithm (IPSO), including a variety of algorithm comparison algorithm, ML, OSIC, IPSO)
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Size: 9216 |
Author: 123345
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Description: 为了准确把握网络安全态势发展趋势，针对网络安全信息的动态性、非线性等特点，建立了一种基于IPSO-WNN的态势预测方法。。(Secondly, in order to accurately grasp the development trend of network security situation,)
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Author: 莫言婷婷
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Description: In this work, an algorithm for classical particle swarm optimization (PSO) has been discussed. Also, its
codes in MATLAB environment have been included. The e ectiveness of the algorithm has been analyzed
with the help of an example of three variable optimization problem. Also, the convergence characteristic
of the algorithm has been discussed.
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Size: 2456576 |
Author: vahid62
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Description: matlab的改进粒子群优化算法（IPSO）(Improved Particle Swarm Optimization based on MATLAB)
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Size: 1024 |
Author: Uki111 |
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