Using functions to define layers, transfer functions, and training algorithms. Initialization: Setting initial weights and biases. Training: Adapting weights based on data. Simulation: Testing the trained network on new data. 3. Core Concepts in MATLAB 6.0 Implementation
That said, it also serves as a valuable reference for: introduction to neural networks using matlab 6.0 .pdf
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Inputs (x) Weights (w) Summation & Bias Activation (f) Output (y) x1 ----------> w1 -------\ x2 ----------> w2 --------+--> [ ∑ (xi * wi) + b ] ---> [ Activation ] ---> Output (y) xn ----------> wn -------/ The Layered Model Using functions to define layers, transfer functions, and