PERCEPTRON
\pəsˈɛptɹɒn], \pəsˈɛptɹɒn], \p_ə_s_ˈɛ_p_t_ɹ_ɒ_n]\
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A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
By DataStellar Co., Ltd
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Platidiam
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