地震学报（英文版）2013，Vol.26Issue(2)：147-150,4.DOI:10.1007/s11589-013-0018-z
Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation
Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation
Manoj Kumar 1Manav Mittal 2Pijush Samui3
作者信息
- 1. National Institute of Rock Mechanics, Kolar Gold Fields 563117, Karnataka, India
- 2. School of Mechanical and Building Science, VIT University,Vellore 632014, Tamil Nadu, India
- 3. Centre for Disaster Mitigation and Management, VIT University,Vellore 632014, India
- 折叠
摘要
关键词
Seismic attenuation / Genetic programming / Minimax probability machine regression / Artificial neural network / PredictionKey words
Seismic attenuation / Genetic programming / Minimax probability machine regression / Artificial neural network / Prediction引用本文复制引用
Manoj Kumar,Manav Mittal,Pijush Samui..Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation[J].地震学报（英文版）,2013,26(2):147-150,4.
