What is Artificial Neural Networks
View More :- Types of Artificial Neural Networks
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Defination:-Neural Netrworks are considered to be a prominent component
of futuristic Artificial Intelligence. Currently the phrase Neural networks is synonymous with Artificial Neural Networks (ANNs) whose working concept is similar to that of Human Nervous System and hence the name.In Human body, Neural Networks are the building blocks of the Nervous System which controls and coordinates the different human activities.Neural network consists of a group of neurons (nerve cells) interconnected with each other to carry out a specific function. Architectural Overview of neural networks:-Based on architecture, neural networks are basically of two types: 1.Feed-forward networks:-Feed-forward ANNs (fig 2) allow only unidirectional signal transmission, i.e., from input to output, without any feedback loop. Also called as bottom-up or top-down.Application: Pattern Recognition 2.Feedback networks:-Feedback networks (fig 3) allow signals to travel in both directions by introducing loops. These networks are very powerful, get extremely complicated and dynamic because of their continuous change of state before coming to equilibrium. Brief Explanation of the Learning Process:-The neural networks recognize patterns and respond subsequently in following two ways. 1.Associative mapping refers to the process of learning to produce a particular pattern on the set of input units. 2.Regularity detection in which units learn to respond to particular properties of the input patterns. Read More About :- Home Automation
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