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Advanced Analytics Methodologies: Driving Business Value with Analytics by Thomas W. Dinsmore, Michele Chambers

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A. Unsupervised Learning: Unsupervised Neural Networks

Les Sztandera, Ph.D., and Sujha Balaji

Philadelphia University, Philadelphia, Pennsylvania

Artificial neural networks are computational algorithms that take their inspiration from the way the human brain is organized. There are two somewhat interrelated yet distinct goals that have driven artificial neural network research since its beginnings:

Research behind the understanding of how the biological neural networks work—Domain of neuroscience, cognitive science, and psychology

Research toward more intelligent devices—Domain of computer science and engineering

These two goals—understanding the brain and making smart devices—are interwoven in unsupervised learning and its applications. ...

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