A Novel Framework for Optimizing the Prediction of Areas Favorable to Porphyry-Cu Mineralization: Combination of Ant Colony and Grid Search Optimization Algorithms with Support Vector Machines. Natural Resources
A Novel Framework for Optimizing the Prediction of Areas Favorable to Porphyry-Cu Mineralization: Combination of Ant Colony and Grid Search Optimization Algorithms with Support Vector Machines. Natural Resources Research, 2025, 34(2): 703–729. 24. Huang, F., Chen, J., Yang, Y. et al. A...
In this paper, we focus on deep-learning algorithms. Problem Statement and Contributions Ideally, data used for training deep-learning models are influenced solely by the phenomena that determine the output of the end classification task (e.g., classifying gestures, activities, etc.). However, ...