IRNet: A general purpose deep residual regression framework for materials discovery

INIS

• layers 100%
• machine learning 80%
• learning 60%
• performance 60%
• crystal structure 60%
• connections 40%
• mapping 40%
• vectors 40%
• evaluation 20%
• data 20%
• design 20%
• forests 20%
• datasets 20%
• prediction 20%
• modeling 20%
• output 20%
• calculation methods 20%
• depth 20%
• stacks 20%
• randomness 20%
• neural networks 20%
• convergence 20%

Computer Science

• Networks 60%
• Regression 60%
• Machine Learning Technique 40%
• Material Composition 40%
• Domains 40%
• Vectors 40%
• Computation 20%
• Convergence 20%
• Predictive Model 20%
• Machine Learning 20%
• Regression Problem 20%
• Prediction Performance 20%
• Random Decision Forest 20%
• Machine Learning Approach 20%
• Derived Attribute 20%
• Training Phase 20%
• Database 20%
• Design 20%
• Modeling 20%
• Evaluation 20%