Photovoltaic solar power technology is being pushed to the forefront as a viable alternative source of renewable energy. Addressing the key design challenges involved in the development and implementation of these systems requires simulation tools capable of not only modeling and analyzing the behavior of diverse electronic components but also the ability to combine them with the associated control algorithms and evaluate the full system performance.
MATLAB is a numeric computation software for engineering and scientific calculations. MATLAB is increasingly being used by students, researchers, practicing engineers and technicians. The causes of MATLAB popularity are
legion. Among them are its iterative mode of operation, built-in functions, simple programming, rich set of graphing facilities, possibilities for writing additional functions, and its extensive tool boxes.
In this project, MATLAB codes have been developed by MATLAB4Engineers team. Algorithms such as Extreme Learning Machine (ELM), Multi-Layer Perceptron (MLP), and different strategies for features extraction has been implemented and tested in MATLAB.
This program recognizes a face from a database of human faces using PCA. The principal components are projected onto the eigenspace to find the eigenfaces and an unknown face is recognized from the minimum euclidean distance of projection onto all the face classes. Watch videos