kalman_L

neuro network BPnetworks

MM1 code ..please check this out. This is MM1 tandem code that I used recently. May need to modify a bit to your situation. Ok have fun and enjoy!!!!

说明：  这是一个用matlab编制的DE算法的源程序，希望大家喜欢！(This is a preparation using the Matlab DE algorithm source, hope you like them!)

说明：  线性调频信号的产生，用MATLAB实现，脉宽25，扫描带宽20MHZ，取样频率20MHZ，时频积为50，并给出其频率特性(LFM signal produce)

this file is about communication simulation modeling total form of communication system in a form of mathlab modeling

课程设计中实现matlab的最优化设计，程序代码包括各种算法，如最速下降法 共轭梯度法，牛顿法，修正牛顿法，拟牛顿法，信赖域法，显式最速下降法， MDOMxw梯度投影法，修正G－N法，基本粒子群算法，带压缩因子的粒子群算法，权重改进的粒子群算法，ZMGGiit二阶粒子群算法等等。 (Curriculum design to achieve matlab optimization design, program code includes a variety of algorithms, such as the steepest descent method conjugate gradient method, Newton s method, modified Newton method, quasi-Newton method, trust region method, explicitly steepest descent method, MDOMxw gradient projection law, amendment G-N method, particle swarm algorithm, particle swarm algorithm with compression factors, weights improved particle swarm optimization, ZMGGiit second-order particle swarm optimization and so on. )

function Invariant_Line_Feature_Matching ___DESCRIPTION___ Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? ) Example : Invariant_Line_Feature_Matching ( ) ___REFERENCE___ Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach Park, Lee, Lee - Ideal - CV and Im. Und. - 77, 263-283 - (2000)( function Invariant_Line_Feature_Matching ___DESCRIPTION___ Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? ) Example : Invariant_Line_Feature_Matching ( ) ___REFERENCE___ Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach Park, Lee, Lee- Ideal- CV and Im. Und.- 77, 263-283- (2000))

simple GUI first time to learn simple example

基于matlab的模糊控制规则，可以进行仿真(Matlab-based fuzzy control rules can be simulated)

Model Predictive Control Simulink Library