Description: 人工神经网络bp 算法是用于数学建模Alife.c 基于遗传算法的人工生命模拟源程序, 输入数据文件world GA_nn.c 基于遗传算法优化神经网络结构源程序,输入数据文件sample Patmat.c 基于遗传算法提取基元图形源序 -bp artificial neural network algorithm is used mathematical modeling based on genetic algorithms Alife.c artificial life simulation source code, the input data file GA_nn.c world based on genetic algorithm optimization neural network structure source, the input data file sample Patmat.c based on genetic algorithms yuan-based graphics from the source sequence Platform: |
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Author:乐乐 |
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Description: PSO算法具有快速收敛而且有很强的跳出局部最优从而找到全局最优点的能力，故可以用它来训练优化神经网络，此程序主要研究这个方面。-PSO algorithm is fast and has a strong convergence of jumping out of the local optimal thus find the most advantages of the overall capacity, it can be used to train the neural network optimization, this procedure major study this aspect. Platform: |
Size: 2048 |
Author:lt |
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Description: 机器人控制的仿真，使用遗传算法优化神经网络-control of the robot simulation, the use of genetic algorithm optimization neural network Platform: |
Size: 2048 |
Author:李克 |
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Description: 基于遗传算法优化的RBF网络逼近程序，可以参考！希望能对大家有所帮助
-based on genetic algorithm optimization RBF network approximation procedures, they can refer to. The hope is to help everyone Platform: |
Size: 3072 |
Author:luchen |
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Description: bp神经网络算法是解决最优化问题的先进算法之一，本论文讨论了神经网络中使用最为广泛的前馈神经网络。其网络权值学习算法中影响最大的就是误差反向传播算法（back-propagation简称BP算法）。BP算法存在局部极小点，收敛速度慢等缺点。基于优化理论的Levenberg-Marquardt算法忽略了二阶项。该文讨论当误差不为零或者不为线性函数即二阶项S(W)不能忽略时的Hesse矩阵的近似计算，进而训练网络。-bp neural network algorithm to solve optimization problems, one of the advanced algorithm, the paper discusses the neural network in the most widely used feed-forward neural network. Its network weights learning algorithm in the greatest impact is the error back-propagation algorithm (back-propagation algorithm referred to as BP). BP algorithm for the existence of local minimum points, such as the shortcomings of slow convergence. Optimization theory based on the Levenberg-Marquardt algorithm ignores the second-order item. In this paper, the discussion when the error is not zero or not that is second-order linear function of S (W) can not be ignored when the Hesse matrix of approximate calculation, and then training the network. Platform: |
Size: 19456 |
Author:刘慧 |
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Description: matlab格式源代码。功能：利用改进遗传优化算法解决BP神经网络中局部最小问题。-matlab source code format. Function: the use of improved genetic optimization algorithm BP neural network to solve local minimum problems. Platform: |
Size: 9216 |
Author:magic |
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Description: ga优化神经网权值&阈值程序。为了方便，我把几个matlab的程序都放在txt文件里，使用时，对照把txt内容复制进matlab即可-ga optimization neural network weights & threshold procedures. For convenience, I have several matlab programs on the txt file, use, control the content of the txt you copied into matlab Platform: |
Size: 1024 |
Author:chengwei |
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Description: ga优化神经网权值&阈值程序。
优化的基本原理和过程很多论文可以查到，在此不必赘述我就把用gaot5的小程序贴在下面吧，也是y=1/x-ga optimization neural network weights & threshold procedures. Optimization of the basic principles and processes can be found in many papers, do not have to go into details here I would use a small program gaot5 paste it below as well as y = 1/x Platform: |
Size: 1024 |
Author:肖晔 |
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Description: 基于MATLAB的差分进化算法优化神经网络的源程序-MATLAB based on the differential evolution algorithm for optimization of neural network source code Platform: |
Size: 1024 |
Author:胡月 |
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Description: 最优化算法的总结，包括了主要的搜索算法，NP问题，遗传算法，神经网络，拉格朗日松弛，对计算机优化计算提供理论基础。-Summary of optimization algorithms, including the main search algorithm, NP problems, genetic algorithms, neural networks, Lagrangian relaxation, to provide a theoretical basis for computer optimization calculations. Platform: |
Size: 6378496 |
Author:zn |
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Description: 基于遗传算法的bp神经网络优化程序，经测试好用，有很好的应用价值-Bp based on genetic algorithm neural network optimization program, tested easy to use, there is a good value Platform: |
Size: 1024 |
Author:guang dong |
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Description: 用遗传算法优化神经网络权值 最后实现逼近sin函数曲线-Neural network using genetic algorithm optimization to achieve the right of the value of the final function curve approximation sin Platform: |
Size: 293888 |
Author:无名 |
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Description: 微粒群优化算法(Particle Swarm Optimization,PSO算法)源于鸟群和鱼群群体运
动行为的研究，是一种新的群体智能优化算法，是演化计算领域中的一个新的分支。它
的主要特点是原理简单、参数少、收敛速度较快，所需领域知识少。该算法的出现引起
了学者们极大的关注，已在函数优化、神经网络训练、组合优化、机器人路径规划等领
域获得了广泛应用，并取得了较好的效果。尽管粒子群优化算法发展近十年，但无论是
理论分析还是实践应用都尚未成熟，有大量的问题值得研究。
-Particle swarm optimization (Particle Swarm Optimization, PSO algorithm) from groups of birds and fish movement behavior, is a new swarm intelligence algorithm, in the field of evolutionary computation is a new branch. Its main feature is simple in principle, few parameters, convergence is faster, less domain knowledge required. The algorithm brought the scholars are of great concern, has been in function optimization, neural network training, combinatorial optimization, robot path planning has been widely used applications, and achieved good results. Despite the development of particle swarm optimization nearly a decade, but both theory and practice applications are not yet mature, a large number of issues worth studying. Platform: |
Size: 602112 |
Author:赵 |
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Search - optimization neural