Artificial Neural Network Learning Rules Classification is made in 2-dimensional space with artificial neural networks learning rules. Learning Factors Initial Weights Steepness of the Activation Function Learning Constant Momentum Method Necessary Number of Hidden Neurons Network Architectures Versus Data Representation NOTE : Additionally, GUI indicators such as loss charts and period counter negatively affect runtime efficiency. - SingleCategory SingleLayer Neural Network - discrete (Perceptron Learning Rule) - continuos (Delta Learning Rule) DISCRETE CONTINOUS - MultiCategory SingleLayer Neural Network - Discrete (Perceptron Learning Rule) - Continous (Delta Learning Rule) DISCRETE CONTINOUS MultiLayer Neural Network - Error Back Propagation MULTILAYER
