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Research Paper | Electronics & Communication Engineering | India | Volume 3 Issue 7, July 2014
Basic Study of Neural Networks
Abstract: Human's central nervous system inspired the concept of neural networks. In an Artificial Neural Network, simple artificial nodes, known as neurons, neurodes, processing elements or units, are connected together to form a network which are similar to a biological neural network. There is no single formal definition of what is an artificial neural network. Neural networks consist of sets of adaptive weights, i. e. numerical parameters that are tuned by a learning algorithm, and are capable of approximating non-linear functions of their inputs. In modern software implementations of artificial neural networks, the approach inspired by biology has been largely abandoned for a more practical approach based on statistics and signal processing. Here we also discuss about advantages, limitations and applications of neural networks.
Keywords: Neuron, Nodes, Network, ANN, Adaptive
Edition: Volume 3 Issue 7, July 2014,
Pages: 1807 - 1809
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Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 6, June 2015
Pages: 3042 - 3047Reproduction of Remote Sensed Images Using Artificial Neural Network
Aarsi Saini | Sukhvinder Kaur [3]
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Research Paper, Electronics & Communication Engineering, India, Volume 4 Issue 5, May 2015
Pages: 1648 - 1651An Adaptive Level Set Evolution for the Analysis of Ventricle Variations in Alzheimer MR Images
Veena Kumari H M