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
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Consumers' preferences -- Models. : A brand-switching model with implications for marketing strategies / byRichard Colombo and Donald G. Morrison
Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time
Models, Economics : Creating a business case for quality improvement research : expert views, workshop summary / Samantha Chao, rapporteur ; Forum on the Science of Health Care Quality Improvement and Implementation, Board on Health Care Services, Institute of Medicine of the National Academies
Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment
