Optimally pruned extreme learning machine with ensemble of regularization techniques and negative correlation penalty applied to automotive engine coldstart hydrocarbon emission identification

No abstract is available for this paper.

• Publication year

  2014

• Venue

  Neurocomputing

• Publication date

  2014-05-01

• Fields of study

  Mathematics, Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1016/j.neucom.2013.10.030
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Modeling a shape memory alloy actuator using an evolvable recursive black-box and hybrid heuristic algorithms inspired based on the annual migration of salmons in nature

  2014cited by this paper
• Extreme Learning Machine: A Robust Modeling Technique? Yes!

  2013cited by this paper
• Identifying the behaviour of laser solid freeform fabrication system using aggregated neural network and the great salmon run optimisation algorithm

  2012cited by this paper
• Determining Model Accuracy Requirements for Automotive Engine Coldstart Hydrocarbon Emissions Control

  2012cited by this paper
• Extreme learning machines: a survey

  2011cited by this paper
• Regularized extreme learning machine for regression problems

  2011cited by this paper
• TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization

  2011cited by this paper
• Ensemble of niching algorithms

  2010cited by this paper
• Nonlinear constrained component optimization of a plug-in hybrid electric vehicle

  2010cited by this paper
• OP-ELM: Optimally Pruned Extreme Learning Machine

  2010cited by this paper
• Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs

  2010cited by this paper
• Recurrent neural network training for energy management of a mild Hybrid Electric Vehicle with an ultra-capacitor

  2009cited by this paper
• Coldstart modeling and optimal control design for automotive SI engines

  2009cited by this paper
• Regularized Extreme Learning Machine

  2009cited by this paper
• Selective negative correlation learning approach to incremental learning

  2009cited by this paper
• Enhanced random search based incremental extreme learning machine

  2008cited by this paper
• Is there a need for fuzzy logic?

  2008cited by this paper
• Incorporating prior knowledge in support vector machines for classification: A review

  2008cited by this paper
• Evolving artificial neural networks using an improved PSO and DPSO

  2008cited by this paper
• Engine modeling and control for minimization of hydrocarbon coldstart emissions in SI engine

  2007cited by this paper
• Extreme learning machine: Theory and applications

  2006cited by this paper
• Automotive engine hybrid modelling and control for reduction of hydrocarbon emissions

  2006cited by this paper
• Multiresponse Sparse Regression with Application to Multidimensional Scaling

  2005cited by this paper
• Application Areas of AIS: The Past, The Present and The Future

  2005cited by this paper
• Evolutionary ensembles with negative correlation learning

  2000cited by this paper
• Regression Shrinkage and Selection via the Lasso

  1996cited by this paper
• Cycle-by-Cycle Analysis of HC Emissions During Cold Start of Gasoline Engines

  1995cited by this paper
• Estimating the Dimension of a Model

  1978cited by this paper
• The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction

  1974cited by this paper
• © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION

  year unknowncited by this paper

• Integration of the Biot–Gassmann Fluid Substitution Method and Machine Learning-Based Velocity–Stress Relationship for Estimating In Situ Stresses

  2026cites this paper
• Towards Rapid Prediction of Nuclear Magnetic Resonance-Based Bimodal Porosities: An Example from the Middle Eastern Carbonate Reservoir

  2024cites this paper
• An Integrated Machine Learning Workflow to Estimate In Situ Stresses Based on Downhole Sonic Logs and Laboratory Triaxial Ultrasonic Velocity Data

  2024cites this paper
• Machine learning accelerated approach to infer nuclear magnetic resonance porosity for a middle eastern carbonate reservoir

  2023cites this paper
• Adaptive Ensemble Methods for Tampering Detection in Automotive Aftertreatment Systems

  2022cites this paper
• Simultaneous operating temperature and output power prediction hybrid method for photovoltaic

  2022cites this paper
• Explainable online ensemble of deep neural network pruning for time series forecasting

  2022cites this paper
• Modelling and prediction approach for engine performance and exhaust emission based on artificial intelligence of sterculia foetida biodiesel

  2022cites this paper
• Photovoltaic power output forecasting based on similar day analysis and sensitive pruning extreme learning machine

  2022cites this paper
• Multinomial Bayesian extreme learning machine for sparse and accurate classification model

  2021cites this paper
• Data-driven machine learning approach to predict mineralogy of organic-rich shales: An example from Qusaiba Shale, Rub’ al Khali Basin, Saudi Arabia

  2021cites this paper
• A general radial basis function neural network assisted hybrid modeling method for photovoltaic cell operating temperature prediction

  2021cites this paper
• A hybrid wavelet-optimally-pruned extreme learning machine model for the estimation of international roughness index of rigid pavements

  2020cites this paper
• Towards a more efficient and cost-sensitive extreme learning machine: A state-of-the-art review of recent trend

  2019influential citation
• Parallelized Metaheuristic-Ensemble of Heterogeneous Feedforward Neural Networks for Regression Problems

  2019cites this paper
• Triangular Type-2 Fuzzy Sets Based Weighted Regularized Extreme Learning Algorithm

  2019cites this paper
• Contact State Classification in Industrial Robotic Assembly Tasks Based on Extreme Learning Machine

  2018cites this paper
• Improved Adaptive Incremental Error-Minimization-Based Extreme Learning Machine with Localized Generalization Error Model

  2018cites this paper
• Automatic Recognition of adhesion States using an Extreme Learning Machine

  2017cites this paper
• An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions

  2017cites this paper
• An ensemble data-driven fuzzy network for laser welding quality prediction

  2017cites this paper
• Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach

  2017cites this paper
• Intelligent Expert System to Optimize the Quartz Crystal Microbalance (QCM) Characterization Test: Intelligent System to Optimize the QCM Characterization Test

  2017cites this paper
• Gain scheduled linear quadratic tracking system tuned optimally by covariance matrix adaption evolutionary strategy for automotive engine coldstart control

  2017cites this paper
• Graph Laplacian Based Ontology Regularization Distance Framework for Ontology Similarity Measuring and Ontology Mapping

  2017cites this paper
• Gain scheduled linear quadratic tracking system tuned optimally by covariance matrix adaption evolutionary strategy for automotive engine coldstart control

  2017cites this paper
• A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness

  2016cites this paper
• A robust time delay auto-regressive exogenous fuzzy inference system for real-time estimation of catalyst temperature over engines coldstart operation: a multiobjective implementation scenario

  2016cites this paper
• A hybrid switching predictive controller based on bi-level kernel-based ELM and online trajectory builder for automotive coldstart emissions reduction

  2016cites this paper
• Biologically inspired time-delay soft sensors for online monitoring of automotive coldstart operations: a comparative analysis

  2016cites this paper
• An Efficient Approach for Real-Time Prediction of Rate of Penetration in Offshore Drilling

  2016cites this paper
• A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart emission reductions

  2016cites this paper
• Self-controlled bio-inspired extreme learning machines for scalable regression and classification: a comprehensive analysis with some recommendations

  2016influential citation
• Research on the natural image super-resolution reconstruction algorithm based on compressive perception theory and deep learning model

  2016cites this paper
• Mixed continuous/binary quantum-inspired learning system with non-negative least square optimisation for automated design of regularised ensemble extreme learning machines

  2016influential citation
• Cellular implementation of the great salmon run algorithm for designing a black-box identifier applied to engine coldstart modelling

  2016cites this paper
• A Nonlinear Model Predictive Controller With Multiagent Online Optimizer for Automotive Cold-Start Hydrocarbon Emission Reduction

  2016cites this paper
• Brittleness index prediction in shale gas reservoirs based on efficient network models

  2016cites this paper
• An ELM based predictive control method for HCCI engines

  2016cites this paper
• A Soft Sensor Based on the Integration of Tikhonov Extreme Learning Machine and Accelerated Kernels for Real-Time Estimation of Automotive Catalyst Temperatures

  2015cites this paper
• VKOPP: A kind of long-term prediction model for electronic system

  2015cites this paper
• Calibration of catalyst temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian process regression machine

  2015cites this paper
• An experimentally derived hybrid intelligent tool for analysing and optimising the clad height and melt-pool depth in laser solid freeform fabrication process

  2015cites this paper
• Extreme Learning Machines on High Dimensional and Large Data Applications: A Survey

  2015cites this paper
• Sample-Based Extreme Learning Machine with Missing Data

  2015cites this paper
• Predictive Control Strategies for Automotive Engine Coldstart Emissions

  2015cites this paper
• Vehicle speed prediction via a sliding-window time series analysis and an evolutionary least learning machine: A case study on San Francisco urban roads

  2015cites this paper
• Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neural networks for plug-in hybrid electric vehicles fuel economy

  2015cites this paper
• Calibration of catalyst temperature in automotive engines over coldstart operation in the presence of different random noises and uncertainty: Implementation of generalized Gaussian process regression machine

  2015cites this paper
• A robust safety-oriented autonomous cruise control scheme for electric vehicles based on model predictive control and online sequential extreme learning machine with a hyper-level fault tolerance-based supervisor

  2015cites this paper
• Extreme Learning Machine for Reservoir Parameter Estimation in Heterogeneous Sandstone Reservoir

  2015cites this paper
• Heat transfer analysis of unsteady graphene oxide nanofluid flow using a fuzzy identifier evolved by genetically encoded mutable smart bee algorithm

  2015cites this paper
• Online optimization of automotive engine coldstart hydrocarbon emissions control at idle conditions

  2015cites this paper
• A modular extreme learning machine with linguistic interpreter and accelerated chaotic distributor for evaluating the safety of robot maneuvers in laparoscopic surgery

  2015cites this paper
• Velocity Inversion for Sandstone Reservoir Based on Extreme Learning Machine Neural Network

  2015cites this paper
• Biologically inspired time-delay soft sensors for online monitoring of automotive coldstart operations: a comparative analysis

  2015influential citation
• Auto-regressive multiple-valued logic neurons with sequential Chua's oscillator back-propagation learning for online prediction and synchronization of chaotic trajectories

  2015cites this paper
• An optimal learning-based controller derived from Hamiltonian function combined with a cellular searching strategy for automotive coldstart emissions

  2015cites this paper
• Estimating the deposition efficiency of micro-particles in human upper airway using computerized tomography imaging and bio-inspired evolvable extreme learning machine interpolator

  2015cites this paper
• Coupling Gaussian generalised regression neural network and mutable smart bee algorithm to analyse the characteristics of automotive engine coldstart hydrocarbon emission

  2015cites this paper
• International Journal of Intelligent Computing and Cybernetics Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems

  2015influential citation
• Spatially regularized semisupervised Ensembles of Extreme Learning Machines for hyperspectral image segmentation

  2015cites this paper
• Component sizing of a plug-in hybrid electric vehicle powertrain, Part B: coupling bee-inspired metaheuristics to ensemble of local neuro-fuzzy radial basis identifiers

  2014cites this paper
• A robust time delay auto-regressive exogenous fuzzy inference system for real-time estimation of catalyst temperature over engines coldstart operation: a multiobjective implementation scenario

  2014cites this paper
• An improved extreme learning machine with adaptive growth of hidden nodes based on particle swarm optimization

  2014cites this paper
• Hybrid Intelligent Model to Predict the SOC of a LFP Power Cell Type

  2014cites this paper
• Regularized machine learning through constraint swarm and evolutionary computation applied to regression problems

  2014cites this paper
• Constructive model selection for multi-output extreme learning machine

  2013cites this paper
• Component sizing of a plug-in hybrid electric vehicle powertrain, Part A: coupling bio-inspired techniques to meshless variable-fidelity surrogate models

  2013cites this paper
• A structure optimisation algorithm for feedforward neural network construction

  2013cites this paper
• Data driven-based machine learning modelling and empirical correlations for predicting snow-covered area in the Swat Region, Pakistan

  year unknowncites this paper
• Training Machine Learning Algorithms to Laboratory Triaxial Ultrasonic Velocity Data for Utah FORGE Well 16A(78)-32

  year unknowncites this paper