This repository contains basic neural network design concepts like hebbian learning, perceptron rule, filtered learning
Runtime Optimization of Widrow-Haff Classification Algorithm Using Proper Learning Samples
Machine Learning and Fault Detection
Matlab adaptive noise cancelation using the Widrow-Hoff Learning Rule and ADALINE Neural Network
IMPLEMENTED A PYTHON APPLICATION TO PREDICT THE PRICE AND VOLUME OF STOCK.
Using lessons inspired from the seminal PDP book to compare performance between learning algorithms and neural network architectures, as well as data processing techniques.
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