Spatial predictive mapping using artificial neural networks

7 citations as recorded by crossref.

1. Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields A. Kross et al. 10.3390/rs12142230
2. Prospectivity Mapping of Heavy Mineral Ore Deposits Based upon Machine-Learning Algorithms: Columbite-Tantalite Deposits in West- Central Côte d’Ivoire K. Shaw et al. 10.3390/min12111453
3. Evaluating healthcare access in informal settlements using satellites and neural networks I. Pal & A. Petkar 10.1680/jsmic.21.00006
4. Multi-task learning for data-efficient spatiotemporal modeling of tool surface progression in ultrasonic metal welding H. Chen et al. 10.1016/j.jmsy.2020.12.009
5. Surface movement above an underground coal longwall mine after closure A. Vervoort 10.5194/nhess-16-2107-2016
6. Zoning Suitable Land for the Cultivation of Rice, Wheat, and Barley by Integration of Artificial Intelligent Methods and Spatial Data N. Bagheri et al. 10.1007/s40003-023-00686-3
7. Combining Artificial Neural Networks and GIS Fundamentals for Coastal Erosion Prediction Modeling A. Peponi et al. 10.3390/su11040975