Landslide Identification through Conglomerate Grey Wolf Optimisation and Whale Optimisation Algorithm

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Prof Rajesh B
Assistant Professor , BASE University

Date: 20th May, 2021

Time: 12.00 noon IST

Place: Webinar, Microsoft Teams


The research aims to develop a prediction model to identify landslides through Deep Neural Network (DNN) for predicting the hazard assessment and mitigation of landslide-related losses. It is essential to identify landslide for preventing from affecting the population with significant socioeconomic damage and high economic losses in developing countries. While evaluating the performance of traditional DNN, it is apparent that changes in weights influence the output performance. On this basis, the research involves optimization techniques to identify optimal weights parameters. The involved optimization techniques are Grey Wolf Optimization, Whale Optimization Algorithm, and a conglomeration of the two. The proposed technique performs better than other comparative techniques. It predicts the types and sizes of landslides effectively with 97.75% accuracy.