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自适应神经网络在确定落煤残存瓦斯量中的应用
- 落煤残存瓦斯量的确定是采掘工作面瓦斯涌出量预测的重要环节,它直接影响着采掘工作面瓦斯涌出量预测的精度,并与煤的变质程度、落煤粒度、原始瓦斯含量、暴露时间等影响因素呈非线性关系。人工神经网络具有表示任意非线性关系和学习的能力,是解决复杂非线性、不确定性和时变性问题的新思想和新方法。基于此,作者提出自适应神经网络的落煤残存瓦斯量预测模型,并结合不同矿井落煤残存瓦斯量的实际测定结果进行验证研究。结果表明,自适应调整权值的变步长BP神经网络模型预测精度高,收敛速度快 该预测模型的应用可为采掘工作面瓦斯涌
QPSO 采用matlab语言描述的量子粒子群算法
- 采用matlab语言描述的量子粒子群算法,并附有一些测试函数-Using matlab language to describe the quantum particle swarm algorithm, along with some test function
particle_system 基于hge的粒子系统
- 基于hge的粒子系统,比hge自带的粒子系统更实用,还带有粒子的路径编辑器。只有源码,没有测试用例,有兴趣的自己研究-Hge-based particle system, particle systems than hge own more practical, but also with the path of the particle editor. Only the source, there is no test case, are interested in their own res
MovingObjectsDetection.rar
- 几个关于静止背景下的运动人体目标的检测和跟踪(其中有背景差法和粒子滤波结合的方法)方便广大毕业生论文写作藏考,Some background on the movement of static human target detection and tracking (including the background difference method and the combination of particle filter methods) to facilitate the vast nu
awpso1
- 用matlab编程使用粒子群算法解决ZDT测试函数-Programming with matlab using particle swarm algorithm to solve the test function ZDT
mopsoC
- 使用C 语言编写的 多目标的粒子群优化算法 MOPSO 可以运行 内含测试函数 可以多功能运行-Using the C language for multi-objective particle swarm optimization algorithm MOPSO can run embedded test function can be multi-run
ObjectTrack(camera)
- 接摄像头可以测试粒子滤波、meanshift等几种跟踪算法-Then the camera can test the particle filter, meanshift such as several tracking algorithm
power-system-problem-based-on-PSO
- 利用粒子位置和速度的改变更新,在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真,并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization
a_pso_c_bina
- 一种粒子群算法C语言源程序。并附带几个测试文件。实用!-A particle swarm algorithm C language source code. And attached to a few test files. Practical!
pso-matlab
- 粒子群优化算法pso,针对不同测试函数进行了算法编写-Particle swarm optimization pso, for different test functions of the algorithm to prepare
spso
- 这个是用基本粒子群优化算法解两个测试函数的最小值问题。-This is a fundamental particle swarm optimization algorithm using two test function solution of the minimum problem.
Source
- Particle System Test Application on C#
Optimization_of_RBF_Network
- Matlab粒子群算法优化RBF网络 采用了粒子群算法对RBF神经网络中的参数进行了优化,在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Matlab PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the test procedures and verified thr
psoalgortihm
- 自己编写的粒子群优化算法,以计算一个函数的值作为测试,达到了良好的精度-I have written the particle swarm optimization algorithm to calculate the value of a function as a test, to achieve a good accuracy
PSO-CODE
- 以Rosenbrock矩阵做为测试函数的微粒群算法的一些源码-Rosenbrock matrix in order to function as a test of the Particle Swarm Optimization of a number of source
PSOt
- 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
pso
- 粒子群算法进行数值试验的程序,可作为基础学习所用-Particle swarm optimization numerical test procedure can be used as a basis for learning
PSO
- matlab 遗传算法GA,粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上,自己做的程序。帖到这里,希望有人能改进它们,交流经验这样更有价值。 遗传算法解决最小生成树问题,PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 如果有宝贵经验希望能交流一下,谢谢,-matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm f
threeAlgo
- matlab 遗传算法GA,粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上,自己做的程序。帖到这里,希望有人能改进它们,交流经验这样更有价值。 遗传算法解决最小生成树问题,PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 如果有宝贵经验希望能交流一下,谢谢,-matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm f
pso
- This an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO. Allows code-reusability when trying different population-based optimization al