Stochastic gradient based extreme learning machines for stable online learning of advanced combustion engines

The Nature of Statistical Learning Theory

Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138 · see citing works

Extreme learning machine: Theory and applications

Huang, G.-B., Zhu, Q.-Y., & Siew, C.-K. (2006) · Neurocomputing · doi:10.1016/j.neucom.2005.12.126 · Cited by 13,285 · see citing works

Identification and control of dynamical systems using neural networks

Narendra, K. S., & Parthasarathy, K. (1990) · IEEE Transactions on Neural Networks · doi:10.1109/72.80202 · Cited by 8,031 · see citing works

Large-Scale Machine Learning with Stochastic Gradient Descent

Bottou, L. (2010) · Proceedings of COMPSTAT'2010 · doi:10.1007/978-3-7908-2604-3_16 · Cited by 5,795 · see citing works

Robust adaptive control

Ioannou, P., & Sun, J. (1995) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.1984.4171550 · Cited by 5,789 · see citing works

Extreme Learning Machine for Regression and Multiclass Classification

Huang, G.-B., Zhou, H., Ding, X., & Zhang, R. (2011) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2011.2168604 · Cited by 5,564 · see citing works

A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks

Liang, N., Huang, G.-B., Saratchandran, P., & Sundararajan, N. (2006) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2006.880583 · Cited by 1,967 · see citing works

Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models

Nelles, O. (2000) · Cited by 1,422 · see citing works

Nonlinear system identification

Walter, E. (2003) · Automatica · doi:10.1016/s0005-1098(02)00239-x · Cited by 1,056 · see citing works

Online Learning with Kernels

Kivinen, J., Smola, A. J., & Williamson, R. C. (2004) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.830991 · Cited by 1,021 · see citing works

Homogeneous-Charge Compression-Ignition (HCCI) Engines

Thring, R. H. (1989) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/892068 · Cited by 804 · see citing works

Homogeneous Charge Compression Ignition (HCCI) Using Isooctane, Ethanol and Natural Gas - A Comparison with Spark Ignition Operation

Christensen, M., Johansson, B., & Einewall, P. (1997) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/972874 · Cited by 444 · see citing works

Stable Adaptive Control and Estimation for Nonlinear Systems

Spooner, J. T., Maggiore, M., Ordóñez, R., et al. (2002) · Wiley eBooks · doi:10.1002/0471221139 · Cited by 405 · see citing works

An Experimental Study on Premixed-Charge Compression Ignition Gasoline Engine

Aoyama, T., Hattori, Y., Mizuta, J., et al. (1996) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/960081 · Cited by 316 · see citing works

Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques

Spooner, J. T., Ordóñez, R., Maggiore, M., et al. (2001) · Medical Entomology and Zoology · Cited by 275 · see citing works

Extreme learning machines

Zhu, Q. (2006) · doi:10.32657/10356/4083 · Cited by 242 · see citing works

SVM optimization

Shalev‐Shwartz, S., & Srebro, N. (2008) · International Conference on Machine Learning · doi:10.1145/1390156.1390273 · Cited by 241 · see citing works

Multiple kernel extreme learning machine

Liu, X., Wang, L., Huang, G.-B., et al. (2014) · Neurocomputing · doi:10.1016/j.neucom.2013.09.072 · Cited by 204 · see citing works

Homogeneous Charge Compression Ignition (HCCI) Engines

Zhao, F., Asmus, T. N., Assanis, D. N., et al. (2003) · Cited by 148 · see citing works

Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks

Huynh, H. T., & Won, Y. (2011) · Pattern Recognition Letters · doi:10.1016/j.patrec.2011.07.016 · Cited by 118 · see citing works

A multi-mode combustion diagram for spark assisted compression ignition

Lavoie, G. A., Martz, J. B., Wooldridge, M. S., et al. (2010) · Combustion and Flame · doi:10.1016/j.combustflame.2010.02.009 · Cited by 118 · see citing works

Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning

Mirza, B., Lin, Z., & Toh, K. (2013) · Neural Processing Letters · doi:10.1007/s11063-013-9286-9 · Cited by 107 · see citing works

Characterizing the cyclic variability of ignition timing in a homogeneous charge compression ignition engine fuelled with n -heptane/iso-octane blend fuels

Shahbakhti, M., & Koch, C. R. (2008) · International Journal of Engine Research · doi:10.1243/14680874jer01408 · Cited by 104 · see citing works

Automotive model predictive control : models, methods and applications

del Re, L. (2010) · Springer eBooks · Cited by 102 · see citing works

Deterministic Neural Classification

Toh, K. (2008) · Neural Computation · doi:10.1162/neco.2007.04-07-508 · Cited by 100 · see citing works

A Study of Gasoline-fuelled HCCI Engine Equipped with an Electromagnetic Valve Train

Urata, Y., Awasaka, M., Takanashi, J., et al. (2004) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2004-01-1898 · Cited by 89 · see citing works

Model-Based Control of HCCI Engines Using Exhaust Recompression

Ravi, N., Roelle, M. J., Liao, H.-H., et al. (2009) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2009.2036599 · Cited by 85 · see citing works

Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis

Janakiraman, V. M., Nguyen, X., & Assanis, D. N. (2013) · Applied Soft Computing · doi:10.1016/j.asoc.2013.01.006 · Cited by 83 · see citing works

A Stochastic Gradient Method with an Exponential Convergence Rate for Strongly-Convex Optimization with Finite Training Sets

Roux, N. L., Schmidt, M., & Bach, F. (2012) · Cited by 81 · see citing works

Combustion Limits and Efficiency in a Homogeneous Charge Compression Ignition Engine

KALGHATGI, G. T., & HEAD, R. A. (2006) · International Journal of Engine Research · doi:10.1243/14680874jer04605 · Cited by 80 · see citing works

The Huller: A Simple and Efficient Online SVM

Bordes, A., & Bottou, L. (2005) · Lecture notes in computer science · doi:10.1007/11564096_48 · Cited by 73 · see citing works

On improving the conditioning of extreme learning machine: A linear case

Zhao, G., Shen, Z., Miao, C., et al. (2009) · International Conference on Information, Communications and Signal Processing (ICICS) · doi:10.1109/icics.2009.5397617 · Cited by 72 · see citing works

Hybrid control of homogeneous charge compression ignition (HCCI) engine dynamics

Bengtsson, J., Strandh, P., Johansson, R. G., et al. (2006) · International Journal of Control · doi:10.1080/00207170600587085 · Cited by 64 · see citing works

Feature Selection Using Probabilistic Prediction of Support Vector Regression

Yang, J., & Ong, C. (2011) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2011.2128342 · Cited by 57 · see citing works

Model predictive Control of Homogeneous Charge Compression Ignition (HCCI) engine dynamics

Bengtssonv, J., Strandhv, P., Johansson, R. G., et al. (2006) · doi:10.1109/cacsd-cca-isic.2006.4776893 · Cited by 51 · see citing works

An ELM based predictive control method for HCCI engines

Janakiraman, V. M., Nguyen, X., & Assanis, D. N. (2015) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2015.10.007 · Cited by 46 · see citing works

Identification of the Dynamic Operating Envelope of HCCI Engines Using Class Imbalance Learning

Janakiraman, V. M., Nguyen, X., Sterniak, J., et al. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2311466 · Cited by 45 · see citing works

Analysis of Load and Speed Transitions in an HCCI Engine Using 1-D Cycle Simulation and Thermal Networks

Chang, K., Babajimopoulos, A., Lavoie, G. A., et al. (2006) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2006-01-1087 · Cited by 41 · see citing works

On the High Load Limit of Boosted Gasoline HCCI Engine Operating in NVO Mode

Scaringe, R. J., Wildman, C., & Cheng, W. K. (2010) · SAE International Journal of Engines · doi:10.4271/2010-01-0162 · Cited by 33 · see citing works

An Improved Extreme Learning Machine Based on Particle Swarm Optimization

Han, F., Yao, H.-F., & Ling, Q.-H. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-24553-4_92 · Cited by 31 · see citing works

Model Predictive Control of Homogeneous Charge Compression Ignition (HCCI) Engine Dynamics

Bengtsson, J., Strandh, P., Johansson, R. G., et al. (2006) · ˜The œproceedings of the IEEE Conference on Control Applications/˜The œproceedings of the ... IEEE Conference on Control Applications · doi:10.1109/cca.2006.286106 · Cited by 23 · see citing works

Homogeneous Charge Compression Ignition Engines

Awate, S., Bhangare, S. B., & Deore, D. S. (2014) · Cited by 21 · see citing works

An Enhanced Online Sequential Extreme Learning Machine algorithm

Yu, J., & Er, M. J. (2008) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc.2008.4597855 · Cited by 19 · see citing works

A Robust Online Sequential Extreme Learning Machine

Hoang, M.-T. T., Huynh, H. T., Vo, N., et al. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-72383-7_126 · Cited by 17 · see citing works

Constrained control of Homogeneous Charge Compression Ignition (HCCI) engines

Chiang, C.-J., & Chen, C.-L. (2010) · IEEE Conference on Industrial Electronics and Applications (ICIEA) · doi:10.1109/iciea.2010.5515149 · Cited by 13 · see citing works

Adaptive predictive control using recurrent neural network identification

Akpan, V. A., & Hassapis, G. D. (2009) · 2006 14th Mediterranean Conference on Control and Automation · doi:10.1109/med.2009.5164515 · Cited by 13 · see citing works

A System Identification Framework for Modeling Complex Combustion Dynamics Using Support Vector Machines

Janakiraman, V. M., Nguyen, X., Sterniak, J., et al. (2014) · Lecture notes in electrical engineering · doi:10.1007/978-3-319-03500-0_19 · Cited by 12 · see citing works

Machine Learning for Identification and Optimal Control of Advanced Automotive Engines.

Janakiraman, V. M. (2013) · Deep Blue (University of Michigan) · Cited by 11 · see citing works

A lyapunov based stable online learning algorithm for nonlinear dynamical systems using extreme learning machines

Janakiraman, V. M. (2013) · 2022 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2013.7090813 · Cited by 11 · see citing works

Control Oriented Model and Dynamometer Testing for a Single-Cylinder, Heated-Air HCCI Engine

Wang, Y., Makkapati, S., Janković, M., et al. (2009) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2009-01-1129 · Cited by 10 · see citing works

Tackling climate change with machine learning

Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works

Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction

Padmanabhan, M., Yuan, P., Chada, G., & Nguyen, H. V. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8071050 · Cited by 75 · see citing works

Breakdown of Machine Learning Algorithms

Meena, M., & Sehrawat, R. (2022) · Recent Trends in Artificial Intelligence & it s Applications · doi:10.46610/rtaia.2022.v01i03.005 · Cited by 1 · see citing works

Online sequential class-specific extreme learning machine for binary imbalanced learning

Shukla, S., & Raghuwanshi, B. S. (2019) · Neural Networks · doi:10.1016/j.neunet.2019.08.018 · Cited by 35 · see citing works

A Machine Learning Tutorial for Operational Meteorology. Part I: Traditional Machine Learning

Chase, R. J., Harrison, D. R., Burke, A., Lackmann, G. M., & McGovern, A. (2022) · Weather and Forecasting · doi:10.1175/waf-d-22-0070.1 · Cited by 25 · see citing works

Classifying multiclass imbalanced data using generalized class-specific extreme learning machine

Raghuwanshi, B. S., & Shukla, S. (2021) · Progress in Artificial Intelligence · doi:10.1007/s13748-021-00236-4 · Cited by 3 · see citing works