Approximation of mixing different gaussian distribution with Self-organizing Map(SoM) and Radial Basis Function(RBF)

Function approximation using Multilayer Perceptron (MLP)

Function Approximation and Classification implementations using Neural Network Toolbox in MATLAB. Function Approximation was done on California Housing data-set and Classification was done on SPAM email classification data-set.

2 Projects. Bisection, Newton-Raphson, intersection methods , approaching sin function and it's integral and more...

• Artificial Intelligence • In this project we aim to train an artificial neural network to approximate a function of a discrete dynamical system.

This project involves approximating a function to solve an optimization problem. Functions can often be costly to write in code. Approximating a function can sometimes save time and money. Especially when the code is iterated many times.

Programming assignments of Numerical Methods Sessional Course CSE 218 in Level-2, Term-1 of CSE, BUET

delta-submodular work codes