Introduction To Neural Networks Using Matlab 6.0 .pdf _best_

: Typically utilizes tansig or logsig functions to extract non-linear features.

: Explicit separation between network structure, transfer functions, and weight learning rules. 2. Core Theoretical Foundations introduction to neural networks using matlab 6.0 .pdf

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Neural networks consist of interconnected processing elements called neurons. These neurons are organized into distinct functional layers. neural network toolbox 3.0

net.trainParam.epochs = 1000; net.trainParam.lr = 0.5; % Learning rate net.trainParam.mc = 0.9; % Momentum constant net.trainParam.goal = 0.001; % Mean squared error goal