[英文釋義] 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.