Search - particle swarm neural training

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[AI-NN-PR] CPSO6nn DL : 0: 应用协同微粒群算法对一个4-6-1形式的神经网络进行离线训练.-Application of Cooperative Particle Swarm Optimization for a 4-6-1 form of neural network off-line training.
Date : 2025-12-16 Size : 3kb User : duyanli
[AI-NN-PR] SPSOnn DL : 0: 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.
Date : 2025-12-16 Size : 3kb User : duyl
[AI-NN-PR] PSOt DL : 0: 粒子群算法工具箱，有DEMO程序，可以对16中常见函数测试，并附有神经元网络的训练算法-Particle swarm optimization toolbox, there are DEMO program, you can test for 16 common functions, together with the training algorithm for neural networks
Date : 2025-12-16 Size : 742kb User : 石怀涛
[AI-NN-PR] psoooLMBP DL : 0: 用粒子群算法和LM算法结合的方式训练神经网络，求函数的最小值。-Using Particle Swarm Optimization and the LM algorithm combines the approach for training neural networks, seeking the minimum value of the function.
Date : 2025-12-16 Size : 2kb User : 赵汉卿
[AI-NN-PR] bp2 DL : 0: 利用粒子群PSO算法，设计一个使得前向神经网络的训练得到最优问题。-The use of particle swarm PSO algorithm, designed to allow a feed-forward neural network training problems to be optimal.
Date : 2025-12-16 Size : 828kb User : 印锦
[AI-NN-PR] Particle-algorithm DL : 0: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究。 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。 -Particle swarm optimization (PSO) is an evolutionary computing (evolutionary computation), there is invented by Dr. Eberhart and Dr. kennedy. From the behavior of birds of prey. PSO with genetic algorithm is similar to an iteration-based optimization tool. System is initialized to a group of random solutions, the optimal value by iterative search. But there is no genetic algorithm with the cross (crossover) and mutation (mutation). But the particles in the solution space to follow the optimal particle search. Comparison with genetic algorithms, PSO has the advantage of simple and easy to implement and there is no need to adjust many parameters. Has been widely used in function optimization, neural network training, fuzzy system control, and other genetic algorithm applications.
Date : 2025-12-16 Size : 10kb User : 天涯
[AI-NN-PR] psoyumatlab DL : 0: 应用粒子群优化算法实现bp神经网络的训练代码，并可用matlab仿真-Particle swarm optimization algorithm bp neural network training code, and can be used matlab simulation
Date : 2025-12-16 Size : 5kb User : feilong
[AI-NN-PR] PSO-RBF DL : 0: 利用改进粒子群训练bp神经网络的matlab程序\利用改进粒子群训练RBF神经网络的-Improved Particle Swarm training bp neural network matlab program \ using improved particle swarm training RBF
Date : 2025-12-16 Size : 3kb User : 汪东红
[AI-NN-PR] pso-bp DL : 0: 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
Date : 2025-12-16 Size : 209kb User : mali
[AI-NN-PR] pso-algorithm-neural-network DL : 0: 用粒子群算法来优化神经网络的训练，关于含有交叉因子的粒子群算法-Particle swarm optimization to optimize the neural network training, containing cross-factor particle swarm optimization
Date : 2025-12-16 Size : 8kb User : 陈海蛟
[AI-NN-PR] v1.9 DL : 0: 程序用vc6.0编写，基于离散余弦变换DCT和bp神经网络的人脸识别。采用ORL人脸库，对图像进行DCT低通滤波，再用BPNN进行训练或识别，样本空间内识别效果好。设计流程参考了本站 yaxuan 的v3.3(http://www.pudn.com/downloads330/sourcecode/math/detail1452162.html)(本程序不包含原作的粒子群修正权值及网络结构调整等功能，但调整了训练样本的排列顺序) 感谢原作者，若有侵权我会删除此上传^ ^-Vc6.0 procedures used to prepare, transform and DCT bp neural network recognition based on discrete cosine. Use ORL face for image DCT lowpass filter, and then BPNN training or recognition, good recognition effect within the sample space. The design process of the reference site yaxuan v3.3 (http://www.pudn.com/downloads330/sourcecode/math/detail1452162.html) (The program does not contain particle swarm correction weights and network features such as the original restructuring but adjusted the order of training samples) thanks to the original, if tort I will remove this upload ^ ^
Date : 2025-12-16 Size : 3.32mb User : 连云
[AI-NN-PR] hybrid-of-GA-and-PSO DL : 1: 混合粒子群算法训练BP神经网络（实验数据包含在内）-A hybrid algorithm is based on particle swarm optimization and it is used in training back propagation neural network (source code)
Date : 2025-12-16 Size : 6kb User : 聂善坤
[AI-NN-PR] VartiryPSO DL : 0: 粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． PSO的优势在于简单容易实现并且没有许多参数的调节。目前已被广泛应用于函数优化、神经网络训练、模糊系统控制以及其他遗传算法的应用领域。-The basic idea of Particle Swarm Optimization (PSO) is to find the optimal solution by cooperating and sharing information among individuals. The advantage of PSO is that it is simple and easy to implement and does not have many parameters to adjust. Has been widely used in function optimization, neural network training, fuzzy system control and other genetic algorithm applications.
Date : 2025-12-16 Size : 4kb User : 华盛顿