Neural and Genetic Cognitive Models A1: Perceptron and ANN to classify flower species of Lillies and Iris' based on Petal length and other attributes A2: Backpropagation learning Model to classify wine quality from given chemical attributes A3: Perceptron Learning Network to filter out background talking during a recorded orchestra and produce a clean sound file.
KalRadikov/CMPE452
Neural and Genetic Cognitive Models: Completed Backpropagation Network to predict wine quality based on chemical properties and designed an Adaline Network to classify iris flower types based on numerical petal data.
Python