Image-analysis-of-the-boundary-map

matlab program with result

色散特性的源代码，光纤通信，matlab，GUI的设计(Dispersion characteristic of the source code, optical fiber communication, MATLAB, the GUI of the design)

Metronome using SimMechanics matlab

Digital Image Processing Using Matlab

MATLAB小波变换在发动机故障、齿轮故障诊断中应用的三个程序代码，非常实用(Three application of the MATLAB wavelet transform engine failure, gear fault diagnosis code, very useful)

使用MATLAB软件来生成决策树的系列代码(Matlab routine of decision tree)

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

图像处理中通过小波实现图像增强。基于matlab函数实现。(Image processing wavelet image enhancement. Based on matlab function implementation.)

说明：  his work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multiobjective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and foraging in oceans. These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems.

simulation of three phase inverter