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Published in:
2019 | OriginalPaper | Chapter
ANN-Based Predictive State Modeling of Finite State Machines
Authors : Nishat Anjum, Balwant Prajapat
Published in: Data Science and Big Data Analytics
Publisher: Springer Singapore
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Abstract
Finite state machines have so many applications in the day-to-day life. Design of Finite State machines spread its role from the simple systems to complex systems. As Artificial Intelligence rule all over the technology world by its very effective applications, Finite state machines can also significantly use its essence in the process of next state prediction. The predictive analysis of Artificial intelligence helps to speed up the process of Finite state machines. This paper explores the design of anticipative state machines with the help of Artificial Neural Networks. To get the higher performance, less training time and low error prediction, Back propagation algorithm is used in ANN which helps to analyze the critical parameters in real time applications. Our proposed technique provides better results than the previously used technique and also provides less prediction and training time error with increasing number of inputs.