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IJSTR >> Volume 8 - Issue 8, August 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Journey From Optical Neural Networks To Photonic Chips

[Full Text]

 

AUTHOR(S)

Neha Soni, Enakshi Khular Sharma, Amita Kapoor

 

KEYWORDS

Feed Forward Networks, Hopfield Neural Networks, Neuromorphic Chips, Optical Neural Networks, Self Learning Algorithms.

 

ABSTRACT

In recent years, there has been a rapid expansion in two fields, photonics and artificial neural networks (ANNs). ANNs based on the basic property of a biological neuron, has become the solution for a wide variety of problems in many fields, such as prediction, modeling, control, recognition, etc. and many of them have reached to the hardware implementation phase. Photonics on the other hand, with several advantageous features like inherent parallelism, high speed of information processing (photon), high capacity data storage, etc. has become a natural choice for researchers for the implementation of ANNs. This combination of photonics and ANNs has resulted in novel realizations of various ANN models. In this paper, we attempt to survey the optical realizations of various neural network models made in last the 30 years. We focus on self organizing neural networks, associative memories, and perceptron neural networks. We also survey the state-of-the-art photonic chips for the realization of ANNs.

 

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