Mineral Prospectivity Prediction based on Siamese Network

Computer Science

• Siamese Neural Network 100%
• Training Sample 33%
• Supervised Learning 33%
• Degree Of Similarity 16%
• Convolutional Neural Network 16%
• Training Data 16%
• Euclidean Distance 16%
• Feature Space 16%
• Small Sample Size 16%
• Lower Dimensional Space 16%
• Predictive Performance 16%

Chemical Engineering

• Supervised Learning 100%
• Neural Network 50%

Biochemistry, Genetics and Molecular Biology

• Sample Size 100%