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NN
- 这是不确定规划及应用这本书中神经网络算法的两个源程序-It is uncertain planning and the application of this neural network algorithm in this book the two source
PathPlanningforMobileRobotsBasedontheNeuralNetwork
- ：针对移动机器人传统路径规划算法效率不高，寻优能力差等问题，提出一种基 于神经网络和粒子群优化算法相结合的移动机器人路径规划方法．该方法利用神经网 络实现大量的并行和分布计算，发挥PSO简单、容易实现的优点，提高了路径规划的计 算效率和可靠性．仿真结果表明，这种新路径规划方法是可行且有效的．-The quality and eficiency of calculation is the two puzzling problems in the tradi— tional algo
guihuaxuexi
- 只是神经网络学习中的一个非常重要的章节，讲的是规划学习，支持向量机。-Neural network learning is a very important chapter, learn about the planning, support vector machines.
robot
- 取各障碍物顶点连线的中点为路径点，相互连接各路径点，将机器人移动的起点和终点限制在各路径点上，利用Dijkstra算法来求网络图的最短路径，找到从起点P1到终点Pn的最短路径，由于上述算法使用了连接线中点的条件，不是整个规划空间的最优路径，然后利用遗传算法对找到的最短路径各个路径点Pi (i=1,2,…n)调整，让各路径点在相应障碍物端点连线上滑动，利用Pi= Pi1+ti×(Pi2-Pi1)（ti∈[0,1] i=1,2,…n）即可确定相应的Pi，即为新的路径点，连接此路径点为最优路径。-Ta
5
- 利用Dijkstra算法来求网络图的最短路径，找到从起点P1到终点Pn的最短路径，由于上述算法使用了连接线中点的条件，不是整个规划空间的最优路径，然后利用遗传算法对找到的最短路径各个路径点Pi (i=1,2,…n)调整，让各路径点在相应障碍物端点连线上滑动-Use Dijkstra algorithm to find the shortest path network diagram to find the starting point P1 to the end of Pn from the
NN
- 基于神经网路的路径规划技术，在MobotSim平台上实现，效果较明显-Path planning based on neural network technology, MobotSim platform to achieve the effect more pronounced
zhangkui
- 考虑智能水下机器人在水下行走，受二维海流的影响程度-An improved self-organizing map-based approach is proposed for multiple autonomous underwater vehicle (multi-AUV) system to complete the allocation of targets and path planning in the paper. Each target is to be visited by o
Reactive-Power-Optimization-matlab
- 程序为改进的遗传算法对配电网无功优化补偿问题。电力系统配电网的无功优化规划是保证配电网安全、经济运行的一项有效手段，是降低网损、提高电压质量的重要措施。-Reactive power optimization is one of the most important control methods to ensure power system operation securely and economically,and an effective measure to improve the v
globalpathplanning
- 基于能量函数的人工神经网络路径规划,基于模拟退火原理的机器人三维路径规划例程。-Based on the energy function neural network path planning, based on simulated annealing principle of 3 d robot path planning routines.
wangluofugai
- 无线传感器网络节点定位的移动信标节点路径规划，利用冗余度的方法对网络节点进行最优布置。-Optimal placement of wireless sensor network node positioning mobile beacon node path planning, the redundancy of the network nodes.
lunwen
- 潮流计算是在给定电力系统网络结构、参数和决定系统运行状态的边界条件的情况下确定系统稳态运行状态的一种基本方法,是电力系统规划和运营中不可缺少的一个重要组成部分。-Flow calculation is determined in the given boundary conditions of the state of the power system network structure, parameters and decision systems running the system st
matlabxuexi
- 这是一个好的建模学习资料,赶快下载吧, 数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、 插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、 图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、 最优化理论的三大非经典算法：模拟退火法、神经网络、遗传算法、 网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法）-This is a good model to study the information, download it quick
A-Comparative-Study-of-Metaheuristic-Methods-for-
- A Comparative Study of Metaheuristic Methods for Transmission Network Expansion Planning
dastebandi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
estekhraj-vijegi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
GA
- 基于C++的遗传算法无线网络的选址规划，文件包含候选点和测试点的坐标文件及源程序-Wireless network location planning based on GA and C++ , the file containing the coordinates of the point and the test point candidate files and source code
pajtsource
- 这是《wcdma无线网络规划与优化》书上对应的源代码的第二部分-This is the wcdma wireless network planning and optimization, the second part of the book the corresponding source code
ihe-the
- This the wcdma wireless network planning and optimization, the second part of the book the corresponding source code-This is the wcdma wireless network planning and optimization, the second part of the book the corresponding source code
greedyadding_0513
- 用于交通规划人员在电动汽车路网规划中的贪婪算法(Greedy algorithm for traffic planners in electric vehicle road network planning)
powersystem-monte-carlo-matlab
- 利用粒子群算法实现最优潮流计算，得到最优配电网规划结果(Using particle swarm optimization algorithm to achieve optimal power flow calculation, get optimal distribution network planning results.)