Introduction of HopField Neural Network

Human beings are constantly thinking since ages about the reasons for human capabilities and incapabilities. Successful attempts have been made to design and develop systems that emulate human capabilities or help overcome human incapabilities. The human brain, which has taken millions of years to evolve to its present architecture, excels at tasks such as vision, speech, information retrieval, complex pattern recognition, all of which are extremely difficult tasks for conventional computers. A number of mechanisms have been which seems to enable human brain to handle various problems. These mechanisms include association; generalization and self-organization. A brain similar computational technique namely HopField Neural Network is explained here. Working of Hop Field Neural Network A neural network (or more formally artificial neural network) is a mathematical model or computational model inspired by the structure and functional aspects of biological neural networks. It consists of an interconnected group of artificial neurons. The original inspiration for the term Artificial Neural Network came from examination of central nervous systems and their neurons, axons, dendrites and synapses which constitute the processing elements of biological neural networks. One of the milestones for the current renaissance in the field of neural networks was the associative model proposed by Hopfield at…

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