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This project implements classification using a Multi-Layer Perceptron (MLP) trained via backpropagation and a Radial Basis Function (RBF) Network with random center selection. Performance comparison includes decision boundary visualization and accuracy analysis.

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souvik0306/EE5907-Pattern_Recognition

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This project implements classification using a Multi-Layer Perceptron (MLP) trained via backpropagation and a Radial Basis Function (RBF) Network with random center selection. Performance comparison includes decision boundary visualization and accuracy analysis.

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