Bogdan M. Wilamowski

According to our database1, Bogdan M. Wilamowski authored at least 71 papers between 1996 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2000, "For contributions to industrial electronics and static induction devices.".

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
Pre-Trained Models for Non-Intrusive Appliance Load Monitoring.
IEEE Trans. Green Commun. Netw., 2022

2020
Ensemble Learning for Load Forecasting.
IEEE Trans. Green Commun. Netw., 2020

A novel modular RBF neural network based on a brain-like partition method.
Neural Comput. Appl., 2020

2019
Neural Network Training With Levenberg-Marquardt and Adaptable Weight Compression.
IEEE Trans. Neural Networks Learn. Syst., 2019

DCMDS-RV: density-concentrated multi-dimensional scaling for relation visualization.
J. Vis., 2019

Short-Term Load Forecasting with LSTM Based Ensemble Learning.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

Constructive Cascade Learning Algorithm for Fully Connected Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

The Impact of Architecture on the Deep Neural Networks Training.
Proceedings of the 12th International Conference on Human System Interaction, 2019

Effective Training of RBF Networks.
Proceedings of the 12th International Conference on Human System Interaction, 2019

2018
Nonlinear System Modeling Using RBF Networks for Industrial Application.
IEEE Trans. Ind. Informatics, 2018

Implementation of Deep Neural Networks for Industry Applications.
Proceedings of the IECON 2018, 2018

Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Soft Patterns Reduction for RBF Network Performance Improvement.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Neural Networks Saturation Reduction.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017
A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise.
IEEE Trans. Ind. Informatics, 2017

Improvement of RBF Training by Removing of Selected Pattern.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
Nearest-Neighbor Spline Approximation (NNSA) Improvement to TSK Fuzzy Systems.
IEEE Trans. Ind. Informatics, 2016

Linearization of Bipolar Amplifiers Based on Neural-Network Training Algorithm.
IEEE Trans. Ind. Electron., 2016

An efficient grid-based clustering method by finding density peaks.
Proceedings of the IECON 2016, 2016

Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Estimation of Deep Neural Networks Capabilities Using Polynomial Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Parallel Learning of Feedforward Neural Networks Without Error Backpropagation.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015

PolyNet: A Polynomial-Based Learning Machine for Universal Approximation.
IEEE Trans. Ind. Informatics, 2015

A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies.
IEEE Trans. Ind. Electron., 2015

Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data.
IEEE Trans. Cybern., 2015

Efficient incremental construction of RBF networks using quasi-gradient method.
Neurocomputing, 2015

Adaptive integratable hardware realization of analog neural networks for nonlinear system.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Cubic spline as an alternative to methods of machine learning.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

An algorithm for visualization of big data in a two-dimensional space.
Proceedings of the IECON 2015, 2015

Single-DC-source 7-level CHB inverter with multicarrier level-shifted PWM.
Proceedings of the IECON 2015, 2015

Differential amplifiers with enhanced linearity and temperature compensation.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014
An Incremental Design of Radial Basis Function Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

2013
Segmentation of cerebral cortex MRI images with artificial neural network (ANN) training.
Proceedings of the 6th International Conference on Human System Interactions, 2013

2012
Fast and Efficient Second-Order Method for Training Radial Basis Function Networks.
IEEE Trans. Neural Networks Learn. Syst., 2012

Selection of Proper Neural Network Sizes and Architectures - A Comparative Study.
IEEE Trans. Ind. Informatics, 2012

Introduction to the Special Section on Intelligent Systems.
IEEE Trans. Ind. Electron., 2012

A design methodology of lossy transconductance filters.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012

2011
Advantages of Radial Basis Function Networks for Dynamic System Design.
IEEE Trans. Ind. Electron., 2011

Compensation of Nonlinearities Using Neural Networks Implemented on Inexpensive Microcontrollers.
IEEE Trans. Ind. Electron., 2011

2010
Neural Network Learning Without Backpropagation.
IEEE Trans. Neural Networks, 2010

Improved computation for Levenberg-Marquardt training.
IEEE Trans. Neural Networks, 2010

Design of Network Based Software.
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, 2010

Neural Network Trainer through Computer Networks.
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, 2010

Compensation of Sensors Nonlinearity with Neural Networks.
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications, 2010

2008
Computing Gradient Vector and Jacobian Matrix in Arbitrarily Connected Neural Networks.
IEEE Trans. Ind. Electron., 2008

Optimization Using a Modified Second-Order Approach With Evolutionary Enhancement.
IEEE Trans. Ind. Electron., 2008

2006
Network Traffic Model for Industrial Environment.
IEEE Trans. Ind. Informatics, 2006

2005
The User Datagram protocol.
Proceedings of the Industrial Information Technology Handbook, 2005

The Transmission Control Protocol.
Proceedings of the Industrial Information Technology Handbook, 2005

2001
Internet as a new graphical user interface for the SPICE circuit simulator.
IEEE Trans. Ind. Electron., 2001

2000
Oil well diagnosis by sensing terminal characteristics of the induction motor.
IEEE Trans. Ind. Electron., 2000

Stable training of computationally intelligent systems by using variable structure systems technique.
IEEE Trans. Ind. Electron., 2000

VLSI Implementation of Neural Networks.
Int. J. Neural Syst., 2000

Establishment of a sliding mode in a nonlinear system by tuning the parameters of a fuzzy controller.
Proceedings of the IEEE International Conference on Systems, 2000

1999
Analog implementation of pulse-coupled neural networks.
IEEE Trans. Neural Networks, 1999

Neuro-fuzzy architecture for CMOS implementation.
IEEE Trans. Ind. Electron., 1999

A synchronous high-speed, high-accuracy, loser-take-all circuit.
Proceedings of the International Joint Conference Neural Networks, 1999

Efficient algorithm for training neural networks with one hidden layer.
Proceedings of the International Joint Conference Neural Networks, 1999

Using neural networks to predict abnormal returns of quarterly earnings.
Proceedings of the International Joint Conference Neural Networks, 1999

Spatial to temporal conversion of images using a pulse-coupled neural network.
Proceedings of the International Joint Conference Neural Networks, 1999

1997
Speaker identification based on a modified Kohonen network.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

VLSI architecture for analog bidirectional pulse-coupled neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Bipolar pattern association using a recurrent winner take all network.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Cmos Implementation of a voltage-Mode Fuzzy Min-Max Controller.
J. Circuits Syst. Comput., 1996

CMOS implementation of a pulse-coupled neuron cell.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Implementation of RBF type networks by MLP networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996


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