Mineral exploration modeling by convolutional neural network and continuous genetic algorithm: a case study in Khorasan Razavi, Iran

[1]  E. Carranza,et al.  Deep GMDH Neural Networks for Predictive Mapping of Mineral Prospectivity in Terrains Hosting Few but Large Mineral Deposits , 2021, Natural Resources Research.

[2]  Renguang Zuo,et al.  Lithological Mapping Based on Fully Convolutional Network and Multi-Source Geological Data , 2021, Remote. Sens..

[3]  Jianhua Yang,et al.  A Convolutional Neural Network of GoogLeNet Applied in Mineral Prospectivity Prediction Based on Multi-source Geoinformation , 2021, Natural Resources Research.

[4]  Jun Wang,et al.  Deep Learning Reservoir Porosity Prediction Using Integrated Neural Network , 2021, Arabian Journal for Science and Engineering.

[5]  Iqbal H. Sarker Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions , 2021, SN Computer Science.

[6]  S. Dehghan,et al.  Intelligent geochemical exploration modeling using multiclass support vector machine and integration it with continuous genetic algorithm in Gonabad region, Khorasan Razavi, Iran , 2021, Arabian Journal of Geosciences.

[7]  D. Singer How Deep Learning Networks could be Designed to Locate Mineral Deposits , 2021, Journal of Earth Science.

[8]  Jianping Chen,et al.  Mineral Prospectivity Prediction via Convolutional Neural Networks Based on Geological Big Data , 2021, Journal of Earth Science.

[9]  H. Ghrefat,et al.  Utilization of multispectral landsat-8 remote sensing data for lithological mapping of southwestern Saudi Arabia , 2021 .

[10]  Ji Xiaohui,et al.  Mineral Identification Based on Deep Learning That Combines Image and Mohs Hardness , 2020, Minerals.

[11]  Chong Peng,et al.  Soil geochemical prospecting prediction method based on deep convolutional neural networks-Taking Daqiao Gold Mine in Gansu Province, China as an example , 2021, China Geology.

[12]  Dr. R. Bhavani,et al.  MINERALS CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK , 2021 .

[13]  Qingjie Liu,et al.  Mineral Detection from Hyperspectral Images Using a Spatial-Spectral Residual Convolution Neural Network , 2021 .

[14]  R. Zuo,et al.  Random-Drop Data Augmentation of Deep Convolutional Neural Network for Mineral Prospectivity Mapping , 2020, Natural Resources Research.

[15]  He Li,et al.  Convolutional neural network and transfer learning based mineral prospectivity modeling for geochemical exploration of Au mineralization within the Guandian–Zhangbaling area, Anhui Province, China , 2020 .

[16]  Rafael Pires de Lima,et al.  Petrographic microfacies classification with deep convolutional neural networks , 2020, Comput. Geosci..

[17]  C. Aldrich,et al.  Deep Learning in Mining and Mineral Processing Operations: A Review , 2020 .

[18]  Practical Machine Learning for Data Analysis Using Python , 2020 .

[19]  Sadegh Karimpouli,et al.  Coal Cleat/Fracture Segmentation Using Convolutional Neural Networks , 2019, Natural Resources Research.

[20]  Meng Wang,et al.  Diagenesis and diagenetic facies distribution prediction of Chang 8 tight oil reservoir in Maling area, Ordos Basin, NW China , 2019, TURKISH JOURNAL OF EARTH SCIENCES.

[21]  Nurshazlyn Mohd Aszemi,et al.  Hyperparameter Optimization in Convolutional Neural Network using Genetic Algorithms , 2019, International Journal of Advanced Computer Science and Applications.

[22]  Sergey Fomel,et al.  Convolutional neural networks for fault interpretation in seismic images , 2018, SEG Technical Program Expanded Abstracts 2018.

[23]  Hideitsu Hino,et al.  Classification of volcanic ash particles using a convolutional neural network and probability , 2018, Scientific Reports.

[24]  Rasim Latifovic,et al.  Assessment of Convolution Neural Networks for Surficial Geology Mapping in the South Rae Geological Region, Northwest Territories, Canada , 2018, Remote. Sens..

[25]  Michaël Gharbi,et al.  Convolutional neural network for earthquake detection and location , 2017, Science Advances.

[26]  Meriame Mohajane,et al.  Mapping Forest Species in the Central Middle Atlas of Morocco (Azrou Forest) through Remote Sensing Techniques , 2017, ISPRS Int. J. Geo Inf..

[27]  S. Anbazhagan,et al.  ASTER Data Analyses for Lithological Discrimination of Sittampundi Anorthositic Complex, Southern India , 2017 .

[28]  Janis Keuper,et al.  Facies classification from well logs using an inception convolutional network , 2017, ArXiv.

[29]  S. Porkhial,et al.  Integrated magnetic and gravity surveys for geothermal exploration in Central Iran , 2016, Arabian Journal of Geosciences.

[30]  이창기,et al.  Convolutional Neural Network를 이용한 한국어 영화평 감성 분석 , 2016 .

[31]  Chunxue Liu,et al.  Lineament Length and Density Analyses Based on the Segment Tracing Algorithm: A Case Study of the Gaosong Field in Gejiu Tin Mine, China , 2016 .

[32]  T. Yajima,et al.  ASTER Data Analysis Applied to Mineral Resource Exploration and Geological Mapping , 2014 .

[33]  Thomas Maurer HOW TO PAN-SHARPEN IMAGES USING THE GRAM-SCHMIDT PAN-SHARPEN METHOD – A RECIPE , 2013 .

[34]  A. Ikpokonte,et al.  Analysis of aeromagnetic data over Wamba and its adjoining areas in north-central Nigeria , 2012 .

[35]  Randy L. Haupt,et al.  Practical Genetic Algorithms , 1998 .

[36]  Geetartha Dutta Geological scenario identification using seismic impedance data , 2022 .