Designing simulators for various VLSI designs using the proposed artificial neural network model TRIVENI
Vaibhav Kant Singh · 2017 International Conference on Information, Communication, Instrumentation and Control (ICICIC) · 2017
This paper is in continuation to what author did in the field on Artificial Neural Network in the recent past. In this paper we will propose the use of the Artificial Neural Network Technology for construction of Simulator implementing a VLSI design. In this paper we will see the construction of various Logic GATEs using the basic Artificial Neural Network Models. As VLSI is basically a Circuit which is a combination of the Logic GATEs thus we propose the construction of Simulator using Artificial Neural Network Technology. The Advantages of the proposal are discussed in the paper. The paper proposes a new model of Artificial Neural Network for the construction of Simulators, which we will call TRIVENI. TRIVENI will be utilized as an Artificial Neural Network model for the construction of simulator for VLSI Circuit.