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W

Weight     In a neural network, the strength of a synapse (or connection) between two neurons. Weights may be positive (excitatory) or negative (inhibitory). The thresholds of a neuron are also considered weights, since they undergo adaptation by a learning algorithm.

White Noise     Noise that uniformly distributed in the frequency domain; randomness that is uniformly distributed; thus, a white noise process with a range of 0 to 1 would yield a random number in this range with probability equal for all possible values. Brown noise is a result of cumulatively adding white noise.

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Copyright © Gary William Flake, 1998-2005. All Rights Reserved.