Bogdan M. Wilamowski

Publication Activity (10 Years)

Years Active: 1996-2022
Publications (10 Years): 36

Top Topics

Training Algorithm

Radial Basis Function

Load Forecasting

Top Venues

IEEE Trans. Ind. Informatics

IEEE Trans. Neural Networks Learn. Syst.

Publications

Lingxiao Wang, Shiwen Mao, Bogdan M. Wilamowski, Robert M. Nelms
Pre-Trained Models for Non-Intrusive Appliance Load Monitoring. IEEE Trans. Green Commun. Netw. 6 (1) (2022)
Junfei Qiao, Xi Meng, Wen-Jing Li, Bogdan M. Wilamowski
A novel modular RBF neural network based on a brain-like partition method. Neural Comput. Appl. 32 (3) (2020)
Lingxiao Wang, Shiwen Mao, Bogdan M. Wilamowski, R. M. Nelms
Ensemble Learning for Load Forecasting. IEEE Trans. Green Commun. Netw. 4 (2) (2020)
Pawel Rózycki, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski
Effective Training of RBF Networks. HSI (2019)
Lingxiao Wang, Shiwen Mao, Bogdan M. Wilamowski
Short-Term Load Forecasting with LSTM Based Ensemble Learning. iThings/GreenCom/CPSCom/SmartData (2019)
Xing Wu, Pawel Rózycki, Janusz Kolbusz, Bogdan M. Wilamowski
Constructive Cascade Learning Algorithm for Fully Connected Networks. ICAISC (1) (2019)
Bo Wu, James S. Smith, Bogdan M. Wilamowski, R. M. Nelms
DCMDS-RV: density-concentrated multi-dimensional scaling for relation visualization. J. Vis. 22 (2) (2019)
James S. Smith, Bo Wu, Bogdan M. Wilamowski
Neural Network Training With Levenberg-Marquardt and Adaptable Weight Compression. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Pawel Rózycki, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski
The Impact of Architecture on the Deep Neural Networks Training. HSI (2019)
Janusz Kolbusz, Pawel Rózycki, Oleksandr Lysenko, Bogdan M. Wilamowski
Neural Networks Saturation Reduction. ICAISC (1) (2018)
Pawel Rózycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski
Soft Patterns Reduction for RBF Network Performance Improvement. ICAISC (1) (2018)
James S. Smith, Bogdan M. Wilamowski
Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks. ICAISC (1) (2018)
Pawel Rózycki, Janusz Kolbusz, Grzegorz Krzos, Bogdan M. Wilamowski
Implementation of Deep Neural Networks for Industry Applications. IECON (2018)
Xi Meng, Pawel Rózycki, Junfei Qiao, Bogdan M. Wilamowski
Nonlinear System Modeling Using RBF Networks for Industrial Application. IEEE Trans. Ind. Informatics 14 (3) (2018)
Jaroslaw Bilski, Bogdan M. Wilamowski
Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation. ICAISC (1) (2017)
Pawel Rózycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski
Improvement of RBF Training by Removing of Selected Pattern. ICAISC (1) (2017)
Janusz Kolbusz, Pawel Rózycki, Bogdan M. Wilamowski
The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem. ICAISC (1) (2017)
Angelika Olejczak, Janusz Korniak, Bogdan M. Wilamowski
Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation. ICAISC (1) (2017)
Bo Wu, Bogdan M. Wilamowski
A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise. IEEE Trans. Ind. Informatics 13 (4) (2017)
Xing Wu, Pawel Rózycki, Bogdan M. Wilamowski
Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization. ICAISC (1) (2016)
Jaroslaw Bilski, Bogdan M. Wilamowski
Parallel Learning of Feedforward Neural Networks Without Error Backpropagation. ICAISC (1) (2016)
Bo Wu, Bogdan M. Wilamowski
An efficient grid-based clustering method by finding density peaks. IECON (2016)
Jordan Richardson, Janusz Korniak, Philip D. Reiner, Bogdan M. Wilamowski
Nearest-Neighbor Spline Approximation (NNSA) Improvement to TSK Fuzzy Systems. IEEE Trans. Ind. Informatics 12 (1) (2016)
Zhan Su, Janusz Kolbusz, Bogdan M. Wilamowski
Linearization of Bipolar Amplifiers Based on Neural-Network Training Algorithm. IEEE Trans. Ind. Electron. 63 (6) (2016)
Pawel Rózycki, Janusz Kolbusz, Roman Korostenskyi, Bogdan M. Wilamowski
Estimation of Deep Neural Networks Capabilities Using Polynomial Approach. ICAISC (1) (2016)
Bo Wu, Bogdan M. Wilamowski
An algorithm for visualization of big data in a two-dimensional space. IECON (2015)
Hani Vahedi, Mohammad Sharifzadeh, Kamal Al-Haddad, Bogdan M. Wilamowski
Single-DC-source 7-level CHB inverter with multicarrier level-shifted PWM. IECON (2015)
Gopikrishna Deshpande, Peng Wang, D. Rangaprakash, Bogdan M. Wilamowski
Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data. IEEE Trans. Cybern. 45 (12) (2015)
Zhan Su, Bogdan M. Wilamowski
Differential amplifiers with enhanced linearity and temperature compensation. ICIT (2015)
Xing Wu, Pawel Rózycki, Bogdan M. Wilamowski
A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning. IEEE Trans. Neural Networks Learn. Syst. 26 (8) (2015)
Zhan Su, Bogdan M. Wilamowski, Ruixin Wang, Fa Foster Dai
Adaptive integratable hardware realization of analog neural networks for nonlinear system. INDIN (2015)
Jordan Richardson, Philip D. Reiner, Bogdan M. Wilamowski
Cubic spline as an alternative to methods of machine learning. INDIN (2015)
Pawel Rózycki, Janusz Kolbusz, Tomasz Bartczak, Bogdan M. Wilamowski
Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures. ICAISC (1) (2015)
Michael S. Pukish III, Pawel Rózycki, Bogdan M. Wilamowski
PolyNet: A Polynomial-Based Learning Machine for Universal Approximation. IEEE Trans. Ind. Informatics 11 (3) (2015)
Philip D. Reiner, Bogdan M. Wilamowski
Efficient incremental construction of RBF networks using quasi-gradient method. Neurocomputing 150 (2015)
Carlo Cecati, Janusz Kolbusz, Pawel Rózycki, Pierluigi Siano, Bogdan M. Wilamowski
A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies. IEEE Trans. Ind. Electron. 62 (10) (2015)
Hao Yu, Philip D. Reiner, Tiantian Xie, Tomasz Bartczak, Bogdan M. Wilamowski
An Incremental Design of Radial Basis Function Networks. IEEE Trans. Neural Networks Learn. Syst. 25 (10) (2014)
Michael S. Pukish III, Shumin Wang, Bogdan M. Wilamowski
Segmentation of cerebral cortex MRI images with artificial neural network (ANN) training. HSI (2013)
Milos Manic, Honghai Liu, Adam Slowik, Bogdan M. Wilamowski
Introduction to the Special Section on Intelligent Systems. IEEE Trans. Ind. Electron. 59 (8) (2012)
Tiantian Xie, Hao Yu, Joel D. Hewlett, Pawel Rózycki, Bogdan M. Wilamowski
Fast and Efficient Second-Order Method for Training Radial Basis Function Networks. IEEE Trans. Neural Networks Learn. Syst. 23 (4) (2012)
Pradeep Dandamudi, Timothy A. Brown, Xing Wu, Marcin Jagiela, Bogdan M. Wilamowski
A design methodology of lossy transconductance filters. IECON (2012)
David K. Hunter, Hao Yu, Michael S. Pukish III, Janusz Kolbusz, Bogdan M. Wilamowski
Selection of Proper Neural Network Sizes and Architectures - A Comparative Study. IEEE Trans. Ind. Informatics 8 (2) (2012)
Hao Yu, Tiantian Xie, Stanislaw Paszczynski, Bogdan M. Wilamowski
Advantages of Radial Basis Function Networks for Dynamic System Design. IEEE Trans. Ind. Electron. 58 (12) (2011)
Nicholas J. Cotton, Bogdan M. Wilamowski
Compensation of Nonlinearities Using Neural Networks Implemented on Inexpensive Microcontrollers. IEEE Trans. Ind. Electron. 58 (3) (2011)
Bogdan M. Wilamowski, Hao Yu
Improved computation for Levenberg-Marquardt training. IEEE Trans. Neural Networks 21 (6) (2010)
Bogdan M. Wilamowski, Hao Yu
Neural Network Learning Without Backpropagation. IEEE Trans. Neural Networks 21 (11) (2010)
Bogdan M. Wilamowski
Design of Network Based Software. AINA (2010)
Nam Pham, Hao Yu, Bogdan M. Wilamowski
Neural Network Trainer through Computer Networks. AINA (2010)
Nicholas J. Cotton, Bogdan M. Wilamowski
Compensation of Sensors Nonlinearity with Neural Networks. AINA (2010)
Bogdan M. Wilamowski, Nicholas J. Cotton, Okyay Kaynak, Günhan Dündar
Computing Gradient Vector and Jacobian Matrix in Arbitrarily Connected Neural Networks. IEEE Trans. Ind. Electron. 55 (10) (2008)
Joel D. Hewlett, Bogdan M. Wilamowski, Günhan Dündar
Optimization Using a Modified Second-Order Approach With Evolutionary Enhancement. IEEE Trans. Ind. Electron. 55 (9) (2008)
Janusz Kolbusz, Stanislaw Paszczynski, Bogdan M. Wilamowski
Network Traffic Model for Industrial Environment. IEEE Trans. Ind. Informatics 2 (4) (2006)
Bogdan M. Wilamowski, Aleksander Malinowski, John Regnier
Internet as a new graphical user interface for the SPICE circuit simulator. IEEE Trans. Ind. Electron. 48 (6) (2001)
Mehmet Önder Efe, Okyay Kaynak, Bogdan M. Wilamowski
Stable training of computationally intelligent systems by using variable structure systems technique. IEEE Trans. Ind. Electron. 47 (2) (2000)
Mehmet Önder Efe, Okyay Kaynak, Bogdan M. Wilamowski
Establishment of a sliding mode in a nonlinear system by tuning the parameters of a fuzzy controller. SMC (2000)
Bogdan M. Wilamowski, J. Binfet, M. Okyay Kaynak
VLSI Implementation of Neural Networks. Int. J. Neural Syst. 10 (3) (2000)
Bogdan M. Wilamowski, Okyay Kaynak
Oil well diagnosis by sensing terminal characteristics of the induction motor. IEEE Trans. Ind. Electron. 47 (5) (2000)
Yasuhiro Ota, Bogdan M. Wilamowski
Analog implementation of pulse-coupled neural networks. IEEE Trans. Neural Networks 10 (3) (1999)
Bogdan M. Wilamowski, Don L. Jordan
A synchronous high-speed, high-accuracy, loser-take-all circuit. IJCNN (1999)
Eric L. Brown, Bogdan M. Wilamowski
Spatial to temporal conversion of images using a pulse-coupled neural network. IJCNN (1999)
Bogdan M. Wilamowski, Yixin Chen, Aleksander Malinowski
Efficient algorithm for training neural networks with one hidden layer. IJCNN (1999)
Bogdan M. Wilamowski, Richard C. Jaeger, M. Okyay Kaynak
Neuro-fuzzy architecture for CMOS implementation. IEEE Trans. Ind. Electron. 46 (6) (1999)
Alan M. Safer, Bogdan M. Wilamowski
Using neural networks to predict abnormal returns of quarterly earnings. IJCNN (1999)
Karina Vieira, Bogdan M. Wilamowski, Robert Kubichek
Speaker identification based on a modified Kohonen network. ICNN (1997)
John E. McInroy, Bogdan M. Wilamowski
Bipolar pattern association using a recurrent winner take all network. ICNN (1997)
Yasuhiro Ota, Bogdan M. Wilamowski
VLSI architecture for analog bidirectional pulse-coupled neural networks. ICNN (1997)
Bogdan M. Wilamowski, Richard C. Jaeger, Mary Lou Padgett, Lawrence J. Myers
CMOS implementation of a pulse-coupled neuron cell. ICNN (1996)
Bogdan M. Wilamowski, Richard C. Jaeger
Implementation of RBF type networks by MLP networks. ICNN (1996)
Yasuhiro Ota, Bogdan M. Wilamowski
Cmos Implementation of a voltage-Mode Fuzzy Min-Max Controller. J. Circuits Syst. Comput. 6 (2) (1996)