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Repositorio de prácticas de la materia de Redes Neuronales. Serie de Fibonacci, entrenamiento de una Red de Hamming, entrenamiento de un Perceptrón Simple mediante la regla de aprendizaje, entrenamiento de una Red Adaline sin bias (decodificador binario a decimal), entrenamiento de una red Adaline con bias mediante la regla delta. Implementación…
This repository is dedicated to the lab work completed for the CCAI 321 course. It demonstrates practical work in artificial neural networks, including the implementation of activation functions, Hamming networks, perceptron and Hebb learning rules, and two-layer networks in Python. Networks were trained and tested on both examples and real data.