N S Raghava

Work place: Delhi Technological University, Delhi, India

E-mail: nsraghava@gmail.com


Research Interests: Engineering, Computing Platform, Artificial Intelligence, Computational Science and Engineering


N S Raghava is currently Professor in Department of Electronics and Communication at Delhi Technological University, Delhi. His teaching and research areas include Artificial Intelligence, Soft Computing, Antenna and Propagation, Microwave Engineering, Digital Communication, Wireless Communication, Cloud Computing, Networking and Information Security. He has many publications in various reputed international journals and conferences.

Author Articles
Neural Network Synchronous Binary Counter Using Hybrid Algorithm Training

By Ravi Teja Yakkali N S Raghava

DOI: https://doi.org/10.5815/ijigsp.2017.10.05, Pub. Date: 8 Oct. 2017

Information processing using Neural Network Counter can result in faster and accurate computation of data due to their parallel processing, learning and adaptability to various environments. In this paper, a novel 4-Bit Negative Edge Triggered Binary Synchronous Up/Down Counter using Artificial Neural Networks trained with hybrid algorithms is proposed. The Counter was built solely using logic gates and flip flops, and then they are trained using different evolutionary algorithms, with a multi objective fitness function using the back propagation learning. Thus, the device is less prone to error with a very fast convergence rate. The simulation results of proposed hybrid algorithms are compared in terms of network weights, bit-value, percentage error and variance with respect to theoretical outputs which show that the proposed counter has values close to the theoretical outputs.

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