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PSO
- 介绍了PSO算法，以及与遗传算法/人工神经网络的区别，并介绍了算法中参数的选取方法等内容。-Introduced the PSO algorithm, as well as with genetic algorithm/artificial neural network differences and describes the algorithm parameter selection methods and so forth.
RBF
- 基于氯乙烯精馏的软测量改进的PSO-RBF神经网络建模-Soft-sensor Modeling of Rectification of Vinyl Chloride Based on Improved PSO-RBF Neural Network
psobp
- BP neural network trained by PSO algorithm
Scripts3
- - BP neural network trained by PSO algorithm - Random weight method PSO - Adaptive weights PSO
P5-1
- PSO BP神经网络的设计指导原则，源程序-Design guidelines PSO BP neural network source
Study-of-Improved-BP-Neural-Network-on-Rotor-Spee
- In this paper three different methods such as GDM AGDM and modified PSO are adopted to optimize the neural networks, and simulate the DTC system with MATLAB/SIMULINK. The result shows: modified PSO algorithm can solve the problem of neural n
cedbk
- 基于K均值的PSO聚类算法,非常适合计算机视觉方面的研究使用,包括最小二乘法、SVM、神经网络、1_k近邻法。- K-means clustering algorithm based on the PSO, Very suitable for the study using computer vision, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
jkidf
- 关于神经网络控制，包含位置式PID算法、积分分离式PID，基于K均值的PSO聚类算法。- On neural network control, It contains positional PID algorithm, integral separate PID, K-means clustering algorithm based on the PSO.
PSO-Learning-on-Artificial-Neural-Networks
- PSO Learning on Artificial Neural Networks
粒子群优化算法
- 粒子群优化（PSO）是一种进化计算技术（进化计算）。 捕食鸟行为的研究。粒子群算法（PSO）的基本思想是通过群体中个体之间的协作和信息共享找到最优解。 粒子群优化算法的优点是它简单且易于实现，没有多个参数。目前，它已广泛应用于函数优化、神经网络训练、模糊系统控制等遗传算法中。(The particle swarm optimization (PSO:Particle swarm optimization) is an evolutionary computing technology (Ev