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.
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.
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.