资源列表
SourceCode
- 本程序所采用的启发函数,本人不能证明它能解决任何的八数码难题,如果对于较难的问题会产生很多节点,有可能会使空间不足,所以尽量不要出太难的问题难为它.希望广大的人工智能爱好者能写出更好的启发函数.-This procedure adopted by the heuristic function, I can not prove that it can resolve any of the eight digital dilemma, if the more difficult the proble
getgrad
- Produces a matrix of derivatives of network output w.r.t. ％ each network weight for use in the functions NNPRUNE and NNFPE.-Produces a matrix of derivatives of network output wrt each network weight for use in the functions NNPRUNE and NNFPE.
marq
- ％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be trained. ％ ％ Given a set of cor
nnfpe
- This function calculates Akaike s final prediction error ％ estimate of the average generalization error for network ％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive ％ counterparts. ％ ％ [FPE,deff,varest,H] = nnfpe(method,Ne
ants
- 蚂蚁算法伪码 蚂蚁算法解决TSP问题的C++程序-Ant Algorithm pseudo-code ant algorithm to solve TSP problems C++ Procedures
TSP_ga
- TSP问题（又名：旅行商问题，货郎担问题）遗传算法通用matlab程序-TSP problem (also known as: traveling salesman problem, traveling salesman problem) genetic algorithm matlab common procedures
PSO
- 粒子群算法，通过理解，自己写出的原代码，供大家参考-Particle swarm optimization, through understanding, to write their own original code, for your reference
bp
- 这是我的一个作业，本人初学神经网络，希望大家多提些意见-This is one of my operations, I am learning neural networks, hope that we talk too much about these views
midujuli
- 本算法是基于一种密度和距离混合聚类算法的研究-The algorithm is based on the density and distance of a Hybrid Clustering Algorithm
matlab
- 在MATLAB开发环境下实现的遗传算法程序-In the MATLAB development environment to achieve the genetic algorithm procedure
HFUT_Material
- 这是合肥工业大学一份关于机器人足球的全套资料，对学习的人很有帮助-This is the Hefei Industrial University, a complete set of robot soccer on information helpful to learn
AStarDemo
- A星算法实现～ 人工智能中如何寻早最短路径，在游戏中有重要应用-A Star ~ artificial intelligence algorithm how to find the shortest path early in the game there are important applications