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{{Main|Neural network (machine learning)}}
An '''artificial neural network''' (ANN) or '''neural network''' combines biological principles with advanced statistics to solve problems in domains such as [[pattern recognition]] and game-play. ANNs adopt the basic model of neuron analogues connected to each other in a variety of ways.
== Structure ==
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=== Bias ===
A bias term can be added, changing the form to the following:<ref name="DAWSON1998">{{cite journal|last1=DAWSON|first1=CHRISTIAN W|year=1998|title=An artificial neural network approach to rainfall-runoff modelling|journal=Hydrological Sciences Journal|volume=43|issue=1|pages=47–66|doi=10.1080/02626669809492102|doi-access=free|bibcode=1998HydSJ..43...47D }}</ref>
: <math> p_j(t) = \sum_i o_i(t) w_{ij}+ w_{0j}, </math> where <math>w_{0j}</math> is a bias.
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[[Pseudocode]] for a [[stochastic gradient descent]] algorithm for training a three-layer network (one hidden layer):
initialize network weights (often small random values).
'''do'''
'''for each''' training example named ex '''do'''
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