Loading

Artificial Intelligence Applications and Future Research Directions
K .G. Rani Roopha Devi1, R.Mahendra Chozhan2, R. Murugesan3

1K .G. Rani Roopha Devi, Research Scholar, Madurai Kamaraj University, Madurai.India

2Dr.R.Mahendra Chozhan 2Chozhan Dental Clinic, Kodaikanal, Periyakulam, Lakshmipuram, India

3Dr. R. Murugesan Associate Professor, Department of Computer Science, C.P.A College, Bodinayakanur, India.

Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 29 June 2020 | PP: 35-40 | Volume-8 Issue-10S2 August 2019 | Retrieval Number: J100608810S19/2019©BEIESP | DOI: 10.35940/ijitee.J1006.08810S19

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This is an extensive study of Artificial Intelligence applications. It offers artificial neural networks (ANN) taxonomy and supplies investigators with current knowledge and raising needs in ANN based research applications and concentration for investigators. In addition, this study offers an ANN application contributions, challenges, performance comparison and evaluation. This study is demonstrated various ANN applications in diverse disciplines comprise science, computing, medicine, environmental, engineering, climate, technology, mining, arts, nanotechnology, business and so on. Based on this review, it is identified that neural network models like Feedback propagation and Feed forward artificial neural networks performs effectually in human problems based application. Henceforth, feed forward and feed backward propagation ANN focuses on research sourced on data analysis parameters such as accuracy, fault tolerance, latency, volume, convergence, scalability and performance. However, this study suggests that indeed of utilizing single method, future investigation concentrates on merging ANN models into cloud and dentistry based network wide application.

Keywords: Artificial Intelligence; Artificial Neural networks; Feed Forward; Feed Backward; ANN Applications; Cloud Fusion; Dentistry.
Scope of the Article: Application of Artificial Intelligence and machine learning in the Field of Network and Database