NeuralNetwork_RBF_Classification

interpolacion datos recolectados de ondas microondas

Matlab Uvi_wave wavelet toolbox.(UviWave is a freeware Wavelet Matlab toolbox developed at the University of Vigo, Spain. The package web page is http://www.tsc.uvigo.es/~wavelets/uvi_wave.html.Unfortunately, their server is quite difficult to connect to.)

neural network pro state control

自己编写的基于Jacob “On optimal frequency-domain multichannel linear filtering for noise reduction”的matlab算法实现(matlab code related to On optimal frequency-domain multichannel linear filtering for noise reduction by Jacob)

GMSK信号的MATLAB编程，包括高斯滤波器的产生和编码(GMSK signals in MATLAB programming, including the generation and coding of Gaussian filter)

digital control systems in Z on Matlab

THIS PROJECT IS ON COMPUTER VISION AND TO PERFORM DIFFERENT OPERATIONS ON GIVEN IMAGE FILE.(I.E GETTING IMAGE INFORMATION AND LAPLACIAN TRANSFORMATION OF GIVEN IMAGE)

Example of using fuzzy logic to control water level in bottle.

Normally boxplot plots the whiskers with a maximum length based on the distance between the 25th and 75th percentile. This script uses boxplot but plots the whiskers for a specified percentile and only plots the outliers beyond the new whiskers. Note that the percentile is defined as the data point just beyond the calculated percentile. For example, if the 98th percentile lies between the 4th and 5th highest data points, then the 4th highest data point will be considered the 98th percentile, the whisker will extend to the 4th highest, and only the 4 highest values will be plotted as outliers.

Particle swarm optimization has been used to solve many optimization problems since it was proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and several papers on this topic [5][7][13][15], one of which did a study on its performance using four nonlinear functions adopted as a benchmark by many researchers in this area. In PSO, each particle moves in the search space with a velocity according to its own previous best solution and its group’s previous best solution. The dimension of the search space can be any positive integer.