Succesive Adaptive Linear Neuron Modeling for Finding Equidistant Real Roots

Succesive Adaptive Linear Neuron Modeling for Finding Equidistant Real Roots

This project aims to implement a model to find equidistant real roots using Successive Adaptive Linear Neural Modeling, which is based on two approaches: a Self Organized Map (SOM) and an Adaptative Linear Neuron (Adaline).

Adaptive Linear Neuron, Self-Organizing Map, Roots Finding

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