Search - genetic algorithm in neural network

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[AI-NN-PR] smartsweepers DL : 0: 在VC下编译，图形界面，结合遗传算法和神经网络的智能排雷算法-in VC compiler, graphical interface, which combines the genetic algorithm and neural network algorithm for smart mine
Date : 2026-01-03 Size : 51kb User : lb
[AI-NN-PR] ImagesegmentationBasedonGeneticAlgorithmandNeuraln DL : 0: 本文深入研究了 BP 神经网络与遗传算法理论，BP 神经网络在应用过程中面临着网络训练时间长、容易陷入局部极小值、隐层节点数不易确定等缺点，为了有效地克服 BP 网的困难，将遗传算法与 BP 网络有机地融合，使它们之间的相互补充增强彼此的能力，从而获得更有力的解决实际问题的能力。 -this in-depth study of artificial neural networks and genetic algorithms theory, BP neural network applications in the process of facing network training a long time and easily into the local minimum value, hidden nodes is difficult to determine such shortcomings, in order to effectively overcome the difficulties BP network, Genetic Algorithm and BP organic integration of the network, so that they complement each other between enhance mutual capability, thus more effective to solve practical problems.
Date : 2026-01-03 Size : 545kb User : 罗旺
[AI-NN-PR] gadecod DL : 0: 转载得有关利用遗传算法优化bp神经网络得源程序中得有关解码函数编写-reproduced in the use of genetic algorithm optimization bp neural network in the source decoder functions in the preparation
Date : 2026-01-03 Size : 106kb User : raul
[AI-NN-PR] RBFApproach DL : 0: 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
Date : 2026-01-03 Size : 3kb User : luchen
[AI-NN-PR] GA-BP-neural DL : 1: 由于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。程序需要调用gaot工具箱.-As a result of BP network weights optimization is a constrained optimization problems, and weights to be used real-coded, so the direct use of Matlab genetic algorithm toolbox. Posted the following code is for a 19 input variables, an output variable in case of non-linear regression designed, if applied to other situations, simply change your codec function. Procedures need to call gaot toolbox.
Date : 2026-01-03 Size : 4kb User :
[AI-NN-PR] geneticAlgorithm DL : 0: 本程序实现了一个人工神经网络的算法，相关领域的人可以参考。-This procedure implements a neural network algorithm, in related fields who can refer to.
Date : 2026-01-03 Size : 10kb User : konghe
[AI-NN-PR] GA-1 DL : 0: 清华大学不确定规划教材中的用遗传算法训练神经元网络的混合智能算法1-Tsinghua University, uncertainty in the planning of teaching materials by using genetic algorithm trained neural network Hybrid Intelligent Algorithm 1
Date : 2026-01-03 Size : 4kb User : wq
[AI-NN-PR] multi-ga DL : 0: 自己编的遗传算法同BP神经网络结合的代码！并且在神经网络模型上进行多目标寻优，结果有doc文档详细说明！实现BP-GA多目标优化应用实例！-Own genetic algorithm with BP neural network combined with the code! And in the neural network model for multi-objective optimization, the result document has a detailed description doc! Realize BP-GA multi-objective optimization application examples!
Date : 2026-01-03 Size : 77kb User : ym
[AI-NN-PR] nnToolKit_src DL : 0: nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库，其中的函数在MATLAB环境下均可独立运行，并可打包成DLL组件，这些组件作为独立的COM对象，可以直接被Visual Basic、Visual C++ 、C++ Builder或其它支持COM的高级语言所引用。本工具包中包含的算法包括BP算法中的一些改进算法、模糊神经网络、小波神经网络、遗传算法优化神经网络权值改进算法等，根据需要，读者还可以对该工具包进行扩展，即扩充一些新的函数，以实现特殊的算法需求。-nnToolKit neural network tool kit is based on the MATLAB neural network toolbox developed by a group of neural network algorithm library, which functions in the MATLAB environment can be run independently, and packaged into a DLL components, these components as a separate COM object, can be directly by Visual Basic, Visual C++, C++ Builder or other high-level language support COM quoted. The toolkit includes algorithms, including some of the BP algorithm to improve the algorithm, fuzzy neural network, wavelet neural networks, genetic algorithms to optimize neural network weights to improve the algorithm, if necessary, readers can also expand the tool kit, namely the expansion of some new function, the algorithm in order to achieve special needs.
Date : 2026-01-03 Size : 10.36mb User : 魏建明
[AI-NN-PR] AI_Techniques_For_Game_Programming DL : 0: 主要讨论了人工智能中的遗传算法和神经网络2大主题-Focused on artificial intelligence in the genetic algorithm and neural network 2 large subject
Date : 2026-01-03 Size : 4.18mb User : 董实力
[AI-NN-PR] PSOGABPDRNN DL : 0: 此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序-This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program
Date : 2026-01-03 Size : 131kb User :
[AI-NN-PR] ga-RBF DL : 0: 基于遗传算法对rbf神经网络的径向基宽度进行优化的matlab程序-Based on genetic algorithm rbf radial basis neural network to optimize the width of the matlab program
Date : 2026-01-03 Size : 4kb User : 王建
[AI-NN-PR] Minesweeper DL : 0: 我自己写的利益遗传算法和神经网络技术编写的小游戏，对学习人工智能非常有帮助-I wrote it myself in the interests of genetic algorithm and neural network technology to prepare small game AI is very helpful for learning
Date : 2026-01-03 Size : 67kb User : 杨为
[AI-NN-PR] modern_youhua DL : 0: 现代最优化算法（有170多页的PPT，2010年的）分为三个部分 Part 1 概论 Part 2 模拟退火算法 Part 3 遗传算法现在常用的优化算法禁忌搜索算法模拟退火算法遗传算法人工神经网络蚁群算法粒子群算法混合算法-Modern optimization algorithm is divided into three parts Part 1 Part 2 Introduction Part 3 simulated annealing genetic algorithm optimization is now commonly used in tabu search algorithm simulated annealing genetic algorithm, artificial neural network hybrid particle swarm ant colony optimization algorithm
Date : 2026-01-03 Size : 4.42mb User : zhang
[AI-NN-PR] Advanced-algorithm-notes DL : 0: 先进算法讲义-中科大。在本讲义中，我们将着重讲述一些数学建模中常用的算法，包括神经网络算法、遗传算法、模拟退火算法和模糊数学方法。-Advanced algorithm notes- China science and technology university.In this lecture, we will focus on talk about some mathematical modeling in common use in the algorithm, including neural network algorithm, genetic calculate Methods, simulated annealing algorithm and fuzzy mathematical method.
Date : 2026-01-03 Size : 267kb User : 何迎东
[AI-NN-PR] immune-gengtic-simulation DL : 0: 为了更好了解遗传神经网络在系统中的对比效果，我们以室内温度控制为例，设室内的温度控制目标为18℃（20℃），其他参数保持不变的情况下，分别按照单独神经网络和基于遗传算法优化后的神经网络控制进行仿真实验.仿真结果表明，上述应用遗传算法优化的神经网络是非常有效的，通过运用遗传算法对神经网络进行优化，使其具有良好的泛化能力和快速的收敛性。-To better understand the genetic neural network contrast in the system, we control the indoor temperature, for example, set the room temperature control goal is 18 ℃ (20 ℃), other parameters remaining unchanged, respectively, according to a separate neural networks optimized based on genetic algorithm and neural network control simulation. The simulation results show that the genetic algorithm to optimize the neural network is very effective, through the use of genetic algorithms to optimize the neural network, it has a good generalization ability and fast convergence.
Date : 2026-01-03 Size : 19kb User :
[AI-NN-PR] TSP DL : 0: TSP问题是一个典型的、容易描述但是难以处理的NP完全问题，同时TSP问题也是诸多领域内出现的多种复杂问题的集中概括和简化形式。目前求解TSP问题的主要方法有启发式搜索法、模拟退火算法、遗传算法、Hopfield神经网络算法、二叉树描述算法。所以，有效解决TSP问题在计算理论上和实际应用上都有很高的价值，而且TSP问题由于其典型性已经成为各种启发式的搜索、优化算法的间接比较标准(如遗传算法、神经网络优化、列表寻优(TABU)法、模拟退火法等)。遗传算法就其本质来说，主要是解决复杂问题的一种鲁棒性强的启发式随机搜索算法。因此遗传算法在TSP问题求解方面的应用研究，对于构造合适的遗传算法框架、建立有效的遗传操作以及有效地解决TSP问题等有着多方面的重要意义。-The TSP The problem is a typical, easy to describe but difficult to handle the NP-complete problem, the TSP many areas centralized summarized and simplified form of a variety of complex issues. The main method of solving TSP heuristic search method, simulated annealing, genetic algorithm, Hopfield neural network algorithm, the binary tree to describe the algorithm. Therefore, an effective solution to the TSP has a very high value in the calculation of the theoretical and practical applications, and TSP problem has become due to its typical variety of heuristic search, optimization of indirect comparison standard (such as genetic algorithms, neural networks optimization list optimization (TABU), simulated annealing, etc.). The genetic algorithm is by its very nature, a robustness to solve complex problems heuristic random search algorithm. Genetic algorithm TSP problem solving aspects of applied research, genetic algorithm framework for constructing a suitable, effective genetic manipul
Date : 2026-01-03 Size : 1.22mb User : 孟晓龙
[AI-NN-PR] Genetic-algorithm-optimization DL : 0: 遗传算法优化B P神经网络的目的是通过遗传算法得到更好的网络初始权值和阈值, 其基本思想就是用个体代表网络的初始权值和阈值、个体值初始化的B P神经网络的预测误差作为该个体的适应度值, 通过选择、交叉、变异操作寻找最优个体, 即最优的B P神经网络初始权值。除了遗传算法之外, 还可以采用粒子群算法、蚁群算法等优化B P神经网络初始权值。-Genetic algorithm to optimize BP neural network is designed by means of genetic algorithms get better network initial weights and thresholds, the basic idea is to use individual represents the network' s initial weights and thresholds, the individual values initialized BP neural network prediction error as the individual' s fitness value, through selection, crossover and mutation to find the optimal individual, ie the optimal BP neural network initial weights. In addition to genetic algorithms, you can also use particle swarm optimization, ant colony algorithm to optimize BP neural network initial weights.
Date : 2026-01-03 Size : 51kb User : 吴江
[AI-NN-PR] genetic-algorithm DL : 0: 根据遗传算法和BP神经网络理论，在matlab软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。-According to the theory of genetic algorithm and BP neural network, in the matlab software programming to realize BP neural network nonlinear systems based on genetic algorithm optimization fitting method.
Date : 2026-01-03 Size : 54kb User : 汪杰
[AI-NN-PR] neural-network-genetic-algorithm-master DL : 0: 为了自动学习CNN的深度网络结构，网络结构的数量随着网络中间层数量的增加呈指数增长，这启发我们使用遗传算法有效地遍历这个大的搜索空间。我们首先提出一种编码方法，将每个网络结构表示为一个固定长度的二进制字符串，然后通过生成一组随机个体来初始化遗传算法。在每一代中，我们定义标准的遗传操作(如选择、突变和交叉)来消除弱势个体并产生更具竞争力的个体。(In order to automatically learn the deep network structure of CNN, the number of network structure increases exponentially with the increase of the number of network middle layer, which inspires us to use genetic algorithm to effectively traverse this large search space.We first propose a coding method to represent each network structure as a binary string of fixed length, and then initialize the genetic algorithm by generating a set of random individuals.In each generation, we define standard genetic operations (such as selection, mutation, and crossover) to eliminate vulnerable individuals and produce more competitive ones.)
Date : 2026-01-03 Size : 8kb User : 崔宁敏

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