Function approximation using Multilayer Perceptron (MLP)
Approximation of mixing different gaussian distribution with Self-organizing Map(SoM) and Radial Basis Function(RBF)
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.
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.
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.
Programming assignments of Numerical Methods Sessional Course CSE 218 in Level-2, Term-1 of CSE, BUET
delta-submodular work codes
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