搜索资源列表
Generalized-predictive-control
- 广义预测控制是一种最具代表性的预测控制算法之一，本文通过对广义预测控制的稳定性、鲁棒性和实时性分析，得知它控制方程复杂、计算量过大、不利于实时控制。为此，广义预测控制算法，然后进行参数选择的研究，并针对冷连轧机张力系统进行了仿真，最后介绍了广义预测控制算法的其它改进方法。-Generalized predictive control is one of the most representative predictive control algorithms. This paper analys
bp555
- BP神经网络算法。 已经进行了改进并且经过验证了 希望能带来帮助 -BP neural network algorithm. Has been improved and proven to help bring hope
PSOBP502
- PSO算法优化BP神经网络，数学建模模拟退火算法的改进-PSO algorithm to optimize the BP neural network, mathematical modeling simulated annealing algorithm improve
bppso
- 基于BP神经网络的改进粒子群算法，称为合作粒子群算法，能运行-Improved particle swarm optimization based on BP neural network, known as the cooperation of particle swarm algorithm, running
BP_fuction
- 新颖的BP神经网络，加入了遗传算法改进，并且样本数可调-Novel BP neural network, adding a genetic algorithm to improve, and the number of samples is adjustable
aca-nn
- 使用蚁群算法并进行改进，利用改进的蚁群算法优化BP神经网络的程序-Ant colony algorithm and improved use of improved ant colony algorithm to optimize BP neural network program
BPnet
- 介绍BP神经网络的一篇文章，讲解了一种改进学习的算法，比国内的要早很多-An article introduces the BP neural network, and explain an improved learning algorithm, much earlier than in China
wzrh
- (1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。 (2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。 (3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统
psobp
- 改进版的bp神经网络算法编程（pso）,通过调权改善神经网络的收敛特性，用于精度预测，模式识别，故障诊断。-Improved version of bp neural network algorithm programming (pso), by adjusting the right to improve the convergence properties of neural networks for the accuracy of prediction, pattern recogniti
BP_C
- 改进的BP神经网络算法，能够对适用的数据进行模拟计算-Improved BP neural network algorithm, able to apply simulation data
PSOBP
- 包含两个部分：1传统粒子群算法优化BP神经网络 2改进的粒子群算法优化BP神经网络源代码-It consists of two parts: a traditional particle swarm optimization BP neural network 2 Improved particle swarm optimization BP neural network source code
PSOBP1
- 改进粒子群算法优化BP神经网络的权值，建立BP神经网络-Improved PSO algorithm optimizes the weights of BPneural networks to establish the neural networks.
LPC
- lpc改进算法,基于lpc采样率算法研究，用matlab直接运行-Improved bp Algorithm
yichuansuanfa
- 遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法（粒子群算法、人工鱼群算法等）的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
psobp
- 用pso算法优化BP网络，简单易懂 可以在此基础上进行其他改进-Optimized BP network with pso algorithm is simple and easy to understand can make additional improvements on this basis
bpnetwork
- bp神经网络算法的Java语言实现，包含多个版本的改进，参考了现有bp神经网络的科研成果。-it is an implement of bp-network in Java .there are several editions in the package .when build it ,we have citing lots of advanced research about it .
PSOBP
- 传统粒子群算法优化BP神经网络和改进的粒子群算法优化BP神经网络源代码-traditional particle swarm optimization BP neural network 2 Improved particle swarm optimization BP neural network source code
non_guiyi
- 改进的BP神经网络，因为目的是针对单一的时间序列进行预测，所以该算法没有进行归一化处理，经检验具有还不错的效果，并且附上了对序列进行处理以改变其维度的完整代码。-The improved BP neural network, because the purpose is for single time series forecast, so no normalized processing, the algorithm has a good effect after inspection, an
apd
- 包含了用matlab编写的bp程序和动量-自适应学习调整算法(BP改进算法)程序,,(Contains matlab prepared and momentum bp program - adaptive learning adjustment algorithm (bp algorithm) program,,)