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| Pullout Strength Predictor: A Machine Learning Approach |
| Ravi Khatri, Vicky Varghese, Sunil Sharma, Gurunathan Saravana Kumar, Harvinder Singh Chhabra |
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DOI: https://doi.org/10.31616/asj.2018.0243 |
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DISCRIMINATIVE APPROACH TO STATISTICAL MACHINE LEARNING Introduction to Statistical Machine Learning. 2016;235-236  Machine Learning Approach to Evolutionary Computation Evolutionary Approach to Machine Learning and Deep Neural Networks. 2018;105-178 Connection Strength Encyclopedia of Machine Learning and Data Mining. 2017;261-261 Meta-heuristics, Machine Learning, and Deep Learning Methods Evolutionary Approach to Machine Learning and Deep Neural Networks. 2018;27-75 Machine Learning in the Combination of Expert Opinion Approach to IR Machine Learning Proceedings 1991. 1991;270-274 An Overview of Machine Learning MATLAB Machine Learning Recipes. 2019;1-18 Representation of Data for Machine Learning in MATLAB MATLAB Machine Learning Recipes. 2019;19-43 A Hill-Climbing Approach to Machine Discovery Machine Learning Proceedings 1988. 1988;367-373 Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques Sensors. 2019;19(17):3678 Pullout capacity of small ground anchor: a least square support vector machine approach Journal of Zhejiang University Science A. 2015;16:295-301 |
