In the mining industry, effective use of geographic information systems (GIS) to identify new geographic locations that are favorable for mineral exploration is very important. However, definitive prediction of such location is not an easy task. In this paper, four different neural networks
Mineral exploration is a complex task that often requires the use of satellite imagery, geochemical ...
ABSTRACT: A number of mining and environmental related problems have been approached using ANN techn...
Machine learning algorithms (MLAs) such us artificial neural networks (ANNs), regression trees (RTs)...
A multilayer feed‐forward neural network, trained with a gradient descent, back‐propagation algorith...
In the mining industry, identifying new geographic locations that are favourable for mineral explora...
This paper explores the novel technique of artificial neural networks and their application to miner...
Abstract. This paper explores the novel technique of artificial neural networks and their applicatio...
Article dans revue scientifique avec comité de lecture. nationale.National audienceThis study is con...
Geo-statistical methods for reserve estimation are difficult to use when stationary conditions are n...
Qnantification of unsertainty in mineral prospectivity prediction is an important process to support...
Dissertation (Ph.D.) University of Alaska Fairbanks, 2002Traditional geostatistical methods have bee...
In the modern era of diminishing returns on fixed exploration budgets, challenging targets, and ever...
Comparing performance of interval neutrosophic sets and neural networks with support vector machines...
The mining industry relies heavily upon empirical analysis for design and prediction. Neural networ...
Although the development of geographic information system (GIS) technology and digital data manipula...
Mineral exploration is a complex task that often requires the use of satellite imagery, geochemical ...
ABSTRACT: A number of mining and environmental related problems have been approached using ANN techn...
Machine learning algorithms (MLAs) such us artificial neural networks (ANNs), regression trees (RTs)...
A multilayer feed‐forward neural network, trained with a gradient descent, back‐propagation algorith...
In the mining industry, identifying new geographic locations that are favourable for mineral explora...
This paper explores the novel technique of artificial neural networks and their application to miner...
Abstract. This paper explores the novel technique of artificial neural networks and their applicatio...
Article dans revue scientifique avec comité de lecture. nationale.National audienceThis study is con...
Geo-statistical methods for reserve estimation are difficult to use when stationary conditions are n...
Qnantification of unsertainty in mineral prospectivity prediction is an important process to support...
Dissertation (Ph.D.) University of Alaska Fairbanks, 2002Traditional geostatistical methods have bee...
In the modern era of diminishing returns on fixed exploration budgets, challenging targets, and ever...
Comparing performance of interval neutrosophic sets and neural networks with support vector machines...
The mining industry relies heavily upon empirical analysis for design and prediction. Neural networ...
Although the development of geographic information system (GIS) technology and digital data manipula...
Mineral exploration is a complex task that often requires the use of satellite imagery, geochemical ...
ABSTRACT: A number of mining and environmental related problems have been approached using ANN techn...
Machine learning algorithms (MLAs) such us artificial neural networks (ANNs), regression trees (RTs)...
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