International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 126

Research Paper | Electronics & Communication Engineering | India | Volume 4 Issue 2, February 2015


Analog VLSI Implementation of Neural Network Architecture

Abhishek K. Shrinath


Abstract: Artificial intelligence is realized using artificial neurons. In the proposed design, we are using Artificial neural network to demonstrate the way in which the biological system processes in analog domain. The analog components like Gilbert Cell Multiplier (GCM), Adders, Neuron activation Function (NAF) are used in the implementation. This neural architecture is trained using Back propagation (BP) algorithm in analog domain with new techniques of weight storage. We are using 45nm CMOS technology for layout designing and verification of proposed neural network. The proposed design of neural network will be verified for analog operations like signal amplification and frequency multiplication.


Keywords: Gilbert cell, neuron activation function, neural network, Analog Signals, VLSI


Edition: Volume 4 Issue 2, February 2015,


Pages: 653 - 656


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How to Cite this Article?

Abhishek K. Shrinath, "Analog VLSI Implementation of Neural Network Architecture", International Journal of Science and Research (IJSR), Volume 4 Issue 2, February 2015, pp. 653-656, https://www.ijsr.net/get_abstract.php?paper_id=SUB151220

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