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Neural Networks: All You Need to Know

Pooja S. Nayak, S. G. Hiremath, Arun Biradar

Abstract


An Artificial Neural Network (ANN) is a data preparing worldview that is propelled by the way organic sensory systems, for example, the mind, process data. The key component of this worldview is the novel structure of the data handling framework. It is made out of countless interconnected preparing components (neurons) working as one to tackle explicit issues. Neural systems, with their momentous capacity to get importance from entangled or loose information, can be utilized to remove designs and distinguish patterns that are too mind boggling to be in any way seen by either people or other PC procedures. Favorable circumstances of neural systems include: Adaptive learning, Self-Organization, Real Time Operation, Fault Tolerance by means of Redundant Information Coding. This survey paper clarifies design of neural systems. Utilizations of neural systems in different fields.

 

Keywords: Neural networks, nervous systems, neurones, unison, adaptive learning, self-organization


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References


Rao K.S. Role of neural network models for developing speech systems. Indian Academy of Sciences. Vol. 36, Part 5, October 2011, 783–836p.

https://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html#Introduction to neural networks

Ge Z., Iyer A.N., Cheluvaraja S., et al. Neural Network Based Speaker Classification and Verification Systems with Enhanced Features. Intelligent Systems Conference, 2017, 7-8 September 2017, London, UK.

Neural network architecture basic parts from: https://towardsdatascience.com/nns-aynk-c34efe37f15a


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