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An Investigation into Use of Different Soft Artificial Intelligence Techniques in Mechanical Engineering Domain

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Proceedings of Fourth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 335))

Abstract

In the present era, of globalization and automation, artificial intelligence (AI) has come out as a better implement to solve many problems that require decision making. In this work, it has been tried to amalgamate the research work done related to application of soft computing techniques particularly in the area of mechanical engineering. A lot of researches have being carried out in this domain because it has been a pool of infinite scope for innovative works. This paper gives a quick view of the different applications of AI techniques, such as neural networks, fuzzy logic, neurofuzzy (NF), simulated annealing (SA), genetic algorithm (GA), genetic programming (GP), and data mining (DM), and provides a conscious view in the different paradigms of mechanical engineering where the soft computing techniques are separately used and even in combination with one another to perform certain tasks which if performed by human becomes a dreary task. Several applications of soft computing have been proposed in the literature to solve the problems related with complicated mechanical systems. It is felt that a review of the application in various mechanical areas would help to compare their main features and their relative advantages or limitations to allow choose the most suitable technique for a particular application and also throw light on aspects that needs further attention.

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Authors and Affiliations

  1. Department of Mechanical Engineering, NITTTR, Bhopal, Madhya Pradesh, India

    Anubha Tiwari, Rajvardhan Jaideva & Sharad K. Pradhan

Authors
  1. Anubha Tiwari
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  2. Rajvardhan Jaideva
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  3. Sharad K. Pradhan
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Corresponding author

Correspondence to Anubha Tiwari .

Editor information

Editors and Affiliations

  1. Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

  3. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  4. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  5. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

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Tiwari, A., Jaideva, R., Pradhan, S.K. (2015). An Investigation into Use of Different Soft Artificial Intelligence Techniques in Mechanical Engineering Domain. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2217-0_43

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  • DOI: https://doi.org/10.1007/978-81-322-2217-0_43

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