Artificial Neural Network Model for the Evaluation of Tensile Strength of Vibratory-Assisted TIG Welded Aluminium Weldments
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4606-6_63
Reference14 articles.
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2. Rao, P.G., Rao, P.S., Krishna, A.G.: Evaluation of bending strength of the vibratory welded joint using regression technique. Int. J. Offshore Polar Eng. 25(03), 227–230 (2015)
3. Panda, B.N., Bahubalendruni, M.R., Biswal, B.B.: A general regression neural network approach for the evaluation of compressive strength of FDM prototypes. Neural Comput. Appl. 26(5), 1129–1136 (2015)
4. Vykunta Rao, M., Raju Bahubalendruni, M.V.A., Chintada, V.B.: General regression neural network-based frame work for the evaluation of ultimate tensile strength of vibratory-assisted welded joints. In: Recent Advances in Manufacturing, Automation, Design and Energy Technologies (pp. 173–180). Springer, Singapore
5. Dongare, A.D., Kharde, R.R., Kachare, A.D.: Introduction to artificial neural network. Int. J. Eng. Innovative Technol. (IJEIT) 2(1), 189–194 (2012)
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