SCRS Conference Proceedings on Intelligent Systems
Digital Building Blocks using Perceptrons in Neural Networks
Authors: Shilpa Mehta
Publishing Date: 21-09-2021
ISBN: 978-93-91842-08-6
Abstract
Most microprocessors and microcontrollers are based on Digital Electronics building Blocks. Digital Electronics gives us a number of combinational and sequential circuits for various arithmetic and logical operations. These include Adders, Subtracters, Encoders, Decoders, Multiplexers, DE multiplexers and Flip Flops. These further combine into higher configurations to perform advanced operations. These operations are done using logic circuits in digital electronics. But in this paper, we explore the human reasoning approach using artificial neural networks. We will look into neural implementations of logic gates implemented with SLP (Single layer perceptron) and MLP (Multi-Layer Perceptron). We will also look into recurrent neural architectures to make basic memory elements, viz. Flip Flops which use feedback and may involve in one or more neuron layers.
Keywords
ANN; Adders; Subtracters; Combinational Circuits; SLP; MLP; Perceptron
Cite as
Shilpa Mehta, "Digital Building Blocks using Perceptrons in Neural Networks", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2021, pp. 97-105. https://doi.org/10.52458/978-93-91842-08-6-8