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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