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基于k均值聚类学习算法的rbf神经网络实现
基于k均值聚类学习算法的rbf神经网络实现-K-means clustering-based learning algorithm of rbf neural network
- 2022-03-03 08:38:24下载
- 积分:1
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遗传算法演示程序
遗传算法演示程序-GA Demonstration Program
- 2022-12-02 01:50:04下载
- 积分:1
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有指导的马尔可夫随机场(MRF)的图像分割代码,是有指导的方式(即用鼠标框出分类样本区域)。采用OpenCV编写。...
有指导的马尔可夫随机场(MRF)的图像分割代码,是有指导的方式(即用鼠标框出分类样本区域)。采用OpenCV编写。-Has guided Markov Random Field (MRF) image segmentation code, is guiding the way (that is, a classification of the box with the mouse sample region). Prepared using OpenCV.
- 2022-04-30 20:22:32下载
- 积分:1
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神经网络 多级神经网络仿真
神经网络 多级神经网络仿真-neural network multi-level neural network simulation
- 2022-02-03 04:30:15下载
- 积分:1
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matlab的GA工具箱与vc混和实现遗传算法的源码
matlab的GA工具箱与vc混和实现遗传算法的源码-Matlab Toolbox GA vc mixed with Genetic Algorithm FOSS
- 2022-07-18 00:06:32下载
- 积分:1
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简单一元函数优化实例,利用遗传算法计算下面函数的最大值...
简单一元函数优化实例,利用遗传算法计算下面函数的最大值-One dollar a simple example of function optimization using genetic algorithm function below the maximum
- 2023-02-16 10:30:03下载
- 积分:1
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Origin_7.0 是强大的数据处理软件,在科学研究中有许多重要的应用...
Origin_7.0 是强大的数据处理软件,在科学研究中有许多重要的应用-Origin_7.0 is a powerful data-processing software, in scientific research there are many important applications
- 2023-03-14 16:50:04下载
- 积分:1
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人工神经网络算法研究及应用 田景文.包括神经网络、遗传算法、小波网络、模拟退火算法和支持向量机,清晰易懂,非常值得一看。...
人工神经网络算法研究及应用 田景文.包括神经网络、遗传算法、小波网络、模拟退火算法和支持向量机,清晰易懂,非常值得一看。-Artificial Neural Network Algorithm Research and Application田景文. Including neural networks, genetic algorithms, wavelet networks, simulated annealing algorithm and support vector machine, clear and easy to understand, is a must see.
- 2022-03-20 19:35:13下载
- 积分:1
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- 2022-07-25 12:56:48下载
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粒子群优化算法是一种进化技术(进化有限公司)。
粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).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。详细的步骤以后的章节介绍 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 technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot
- 2022-02-05 13:05:45下载
- 积分:1