Related references
Note: Only part of the references are listed.Multi-objective optimization of iron ore induration process using optimal neural networks
Srinivas Soumitri Miriyala et al.
MATERIALS AND MANUFACTURING PROCESSES (2020)
An Evolutionary Neuro-Fuzzy C-means Clustering Technique
Priyanka D. Pantula et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Deep learning based system identification of industrial integrated grinding circuits
Srinivas Soumitri Miriyala et al.
POWDER TECHNOLOGY (2020)
Recurrent neural networks based modelling of industrial grinding operation
Ravi Kiran Inapakurthi et al.
CHEMICAL ENGINEERING SCIENCE (2020)
Bi-objective algorithm based on NSGA-II framework to optimize reservoirs operation
Dong Liu et al.
JOURNAL OF HYDROLOGY (2020)
A New Hybrid Bat Algorithm and its Application to the ROP Optimization in Drilling Processes
Chao Gan et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
Real-time predictive capabilities of analytical and machine learning rate of penetration (ROP) models
Cesar Soares et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2019)
Simplex basis function based sparse least squares support vector regression
Xia Hong et al.
NEUROCOMPUTING (2019)
Two-level intelligent modeling method for the rate of penetration in complex geological drilling process
Chao Gan et al.
APPLIED SOFT COMPUTING (2019)
Bi-objective optimization for a multistate job-shop production network using NSGA-II and TOPSIS
Yi-Kuei Lin et al.
JOURNAL OF MANUFACTURING SYSTEMS (2019)
Structure optimization and exergy analysis of a two-stage TEC with two different connections
Henan Sun et al.
ENERGY (2019)
A new hybrid modeling and optimization algorithm for improving carbon efficiency based on different time scales in sintering process
Kailong Zhou et al.
CONTROL ENGINEERING PRACTICE (2019)
Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China
Chao Gan et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2019)
Computational intelligence based prediction of drilling rate of penetration: A comparative study
Omogbolahan S. Ahmed et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2019)
OSFSMI: Online stream feature selection method based on mutual information
Maryam Rahmaninia et al.
APPLIED SOFT COMPUTING (2018)
TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study
Srinivas Soumitri Miriyala et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)
Parameter optimization of support vector regression based on sine cosine algorithm
Sai Li et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Wellbore stability analysis during drilling through marine gas hydrate-bearing sediments in Shenhu area: A case study
Jiaxin Sun et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2018)
Monitoring batch processes with dynamic time warping and k-nearest neighbours
Max Spooner et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2018)
Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models
Chiranth Hegde et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2017)
A hybrid just-in-time soft sensor for carbon efficiency of iron ore sintering process based on feature extraction of cross-sectional frames at discharge end
Xiaoxia Chen et al.
JOURNAL OF PROCESS CONTROL (2017)
Comparative study of surrogate approaches while optimizing computationally expensive reaction networks
Srinivas Soumitri Miriyala et al.
CHEMICAL ENGINEERING SCIENCE (2016)
An Efficient Approach for Real-Time Prediction of Rate of Penetration in Offshore Drilling
Xian Shi et al.
MATHEMATICAL PROBLEMS IN ENGINEERING (2016)
Theoretical and experimental study on the penetration rate for roller cone bits based on the rock dynamic strength and drilling parameters
Yong Deng et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2016)
Drilling rate of penetration prediction and optimization using response surface methodology and bat algorithm
Mostafa Keshavarz Moraveji et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2016)
Penetration rate prediction for diamond bit drilling by adaptive neuro-fuzzy inference system and multiple regressions
H. Basarir et al.
ENGINEERING GEOLOGY (2014)
An adaptive neural network prediction for nonlinear parabolic distributed parameter system based on block-wise moving window technique
Mengling Wang et al.
NEUROCOMPUTING (2014)
Share Paper
