Neural-Network-Design

In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.

用平面波展开法计算二维带缺陷态结构的光子晶体的能带图。matlab程序源代码(With a two-dimensional plane wave expansion method to calculate the band structure of photonic crystal defect states in the energy band diagram. matlab source code)

BP神经网络模型的算法和RBF神经网络模型的算法(Algorithm algorithm and RBF neural network model of BP neural network model)

新型扫地机器人的一种路径规划算法A path planning algorithm for sweeping robot(A path planning algorithm for sweeping robot)

MATLABlearn MATLABlearn

beamforming codebook design for MIMO system

无线通信中多径宽带的MATLAB建模和仿真(Multipath Broadband simulation)

这是一个Matlab编写的基于PCA的人脸识别分类算法.(This is a Matlab prepared by the PCA face recognition classification algorithm.)

Puma560_15 robot manupulator

粒子追踪测速的相关程序，所使用的算法为最邻近原则，通过粒子链表形成匹配(Particle tracking velocimetry procedures, the algorithm used for the nearest neighbor principle formed by particles linked list match)