Editing Neural network (machine learning) (section)

==Gallery==
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File:Single layer ann.svg|A single-layer feedforward artificial neural network. Arrows originating from <math>\scriptstyle x_2</math> are omitted for clarity. There are p inputs to this network and q outputs. In this system, the value of the qth output, <math>y_q</math>, is calculated as <math>\scriptstyle y_q = K*(\sum_i(x_i*w_{iq})-b_q).</math>
File:Two layer ann.svg|A two-layer feedforward artificial neural network
File:Artificial neural network.svg|An artificial neural network
File:Ann dependency (graph).svg|An ANN dependency graph
File:Single-layer feedforward artificial neural network.png|A single-layer feedforward artificial neural network with 4 inputs, 6 hidden nodes and 2 outputs. Given position state and direction, it outputs wheel based control values.
File:Two-layer feedforward artificial neural network.png|A two-layer feedforward artificial neural network with 8 inputs, 2x8 hidden nodes and 2 outputs. Given position state, direction and other environment values, it outputs thruster based control values.
File:Cmac.jpg|Parallel pipeline structure of CMAC neural network. This learning algorithm can converge in one step. 
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