signature

神经网络原理与实例精解,有用，希望有帮组(Examples of neural network theory and refined solution)

HVP 介绍，是比较好的资料,要快哦HVPHVP(HVP introduction, is a better data, faster ohHVPHVP)

DDS的软件开发 适合初学者DDS的软件开发 适合初学者DDS的软件开发 适合初学者

HOPFIELDNETWORK M-file for HopfieldNetwork.fig . HOPFIELDNETWORK, by itself, creates a new HOPFIELDNETWORK or raises the existing singleton*. H = HOPFIELDNETWORK returns the handle to a new HOPFIELDNETWORK or the handle to the existing singleton*. HOPFIELDNETWORK( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in HOPFIELDNETWORK.M with the given input arguments. HOPFIELDNETWORK( Property , Value ,...) creates a new HOPFIELDNETWORK or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before hopfieldNetwork_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to hopfieldNetwork_OpeningFcn via varargin.

递推偏最小二乘法的源程序，确定转换参数，解释原始信号和噪声(Using a sequence of data to trace-back parameter of a transfer function. explain step-by-step easily to this time the original signal+noise MATLAB 7.1.0 (R14SP3) identification, parameter, recursive, rls )

LQR for active suspension system _ Matlab code

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)

这是一个基于量子行为的粒子群算法（QPSO）用于特征选择的matlab程序，用户可以选择目标函数优化方向、种群大小，也可以在内部修改QPSO的参数beta(this is a feature selection program based on quantum_behaved particle swarm optimization of matlab ,the user can chose the object function optimization direction,the scale of the swarm ,also you can revise the parameter beta in the programe )

SPARSE ESTIMATION Sparse signal recovery via L_1 minimization. This code is the basis in the L1 magic toolbox for sampling signals that are sparse in the time domain.

binary phase shift keying amplitude modulation