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Bogdan M. Wilamowski
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2020 – today
- 2022
- [j32]Lingxiao Wang
, Shiwen Mao
Pre-Trained Models for Non-Intrusive Appliance Load Monitoring. IEEE Trans. Green Commun. Netw. 6(1): 56-68 (2022) - 2020
- [j31]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): 899-911 (2020) - [j30]Lingxiao Wang
Ensemble Learning for Load Forecasting. IEEE Trans. Green Commun. Netw. 4(2): 616-628 (2020)
2010 – 2019
- 2019
- [j29]Bo Wu
DCMDS-RV: density-concentrated multi-dimensional scaling for relation visualization. J. Vis. 22(2): 341-357 (2019) - [j28]James Seale Smith
Neural Network Training With Levenberg-Marquardt and Adaptable Weight Compression. IEEE Trans. Neural Networks Learn. Syst. 30(2): 580-587 (2019) - [c37]Pawel Rózycki
Effective Training of RBF Networks. HSI 2019: 22-27 - [c36]Pawel Rózycki
The Impact of Architecture on the Deep Neural Networks Training. HSI 2019: 41-46 - [c35]Xing Wu, Pawel Rózycki, Janusz Kolbusz, Bogdan M. Wilamowski:
Constructive Cascade Learning Algorithm for Fully Connected Networks. ICAISC (1) 2019: 236-247 - [c34]Lingxiao Wang, Shiwen Mao, Bogdan M. Wilamowski:
Short-Term Load Forecasting with LSTM Based Ensemble Learning. iThings/GreenCom/CPSCom/SmartData 2019: 793-800 - 2018
- [j27]Xi Meng
Nonlinear System Modeling Using RBF Networks for Industrial Application. IEEE Trans. Ind. Informatics 14(3): 931-940 (2018) - [c33]Janusz Kolbusz
Neural Networks Saturation Reduction. ICAISC (1) 2018: 108-117 - [c32]Pawel Rózycki
Soft Patterns Reduction for RBF Network Performance Improvement. ICAISC (1) 2018: 190-200 - [c31]James Seale Smith, Bogdan M. Wilamowski:
Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks. ICAISC (1) 2018: 235-246 - [c30]Pawel Rózycki, Janusz Kolbusz, Grzegorz Krzos, Bogdan M. Wilamowski:
Implementation of Deep Neural Networks for Industry Applications. IECON 2018: 2717-2722 - 2017
- [j26]Bo Wu
A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise. IEEE Trans. Ind. Informatics 13(4): 1620-1628 (2017) - [c29]Jaroslaw Bilski
Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation. ICAISC (1) 2017: 25-39 - [c28]Janusz Kolbusz, Pawel Rózycki
The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem. ICAISC (1) 2017: 97-106 - [c27]Angelika Olejczak, Janusz Korniak
Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation. ICAISC (1) 2017: 143-153 - [c26]Pawel Rózycki
Improvement of RBF Training by Removing of Selected Pattern. ICAISC (1) 2017: 154-164 - 2016
- [j25]Zhan Su, Janusz Kolbusz, Bogdan M. Wilamowski:
Linearization of Bipolar Amplifiers Based on Neural-Network Training Algorithm. IEEE Trans. Ind. Electron. 63(6): 3737-3744 (2016) - [j24]Jordan Richardson
Nearest-Neighbor Spline Approximation (NNSA) Improvement to TSK Fuzzy Systems. IEEE Trans. Ind. Informatics 12(1): 169-178 (2016) - [c25]Jaroslaw Bilski
Parallel Learning of Feedforward Neural Networks Without Error Backpropagation. ICAISC (1) 2016: 57-69 - [c24]Pawel Rózycki
Estimation of Deep Neural Networks Capabilities Using Polynomial Approach. ICAISC (1) 2016: 136-147 - [c23]Xing Wu, Pawel Rózycki
Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization. ICAISC (1) 2016: 158-169 - [c22]Bo Wu, Bogdan M. Wilamowski:
An efficient grid-based clustering method by finding density peaks. IECON 2016: 837-842 - 2015
- [j23]Philip D. Reiner, Bogdan M. Wilamowski:
Efficient incremental construction of RBF networks using quasi-gradient method. Neurocomputing 150: 349-356 (2015) - [j22]Gopikrishna Deshpande
Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data. IEEE Trans. Cybern. 45(12): 2668-2679 (2015) - [j21]Carlo Cecati
A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies. IEEE Trans. Ind. Electron. 62(10): 6519-6529 (2015) - [j20]Michael S. Pukish III, Pawel Rózycki
PolyNet: A Polynomial-Based Learning Machine for Universal Approximation. IEEE Trans. Ind. Informatics 11(3): 708-716 (2015) - [j19]Xing Wu, Pawel Rózycki
A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1659-1668 (2015) - [c21]Pawel Rózycki
Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures. ICAISC (1) 2015: 112-122 - [c20]Zhan Su, Bogdan M. Wilamowski:
Differential amplifiers with enhanced linearity and temperature compensation. ICIT 2015: 1438-1444 - [c19]Bo Wu, Bogdan M. Wilamowski:
An algorithm for visualization of big data in a two-dimensional space. IECON 2015: 53-58 - [c18]Hani Vahedi, Mohammad Sharifzadeh, Kamal Al-Haddad, Bogdan M. Wilamowski:
Single-DC-source 7-level CHB inverter with multicarrier level-shifted PWM. IECON 2015: 4328-4333 - [c17]Jordan Richardson
Cubic spline as an alternative to methods of machine learning. INDIN 2015: 110-115 - [c16]Zhan Su, Bogdan M. Wilamowski, Ruixin Wang, Fa Foster Dai:
Adaptive integratable hardware realization of analog neural networks for nonlinear system. INDIN 2015: 521-526 - 2014
- [j18]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): 1793-1803 (2014) - 2013
- [c15]Michael S. Pukish III, Shumin Wang, Bogdan M. Wilamowski:
Segmentation of cerebral cortex MRI images with artificial neural network (ANN) training. HSI 2013: 320-327 - 2012
- [j17]Milos Manic, Honghai Liu, Adam Slowik
Introduction to the Special Section on Intelligent Systems. IEEE Trans. Ind. Electron. 59(8): 3046-3048 (2012) - [j16]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): 228-240 (2012) - [j15]Tiantian Xie, Hao Yu, Joel D. Hewlett, Pawel Rózycki
Fast and Efficient Second-Order Method for Training Radial Basis Function Networks. IEEE Trans. Neural Networks Learn. Syst. 23(4): 609-619 (2012) - [c14]Pradeep Dandamudi, Timothy A. Brown, Xing Wu, Marcin Jagiela, Bogdan M. Wilamowski:
A design methodology of lossy transconductance filters. IECON 2012: 6228-6233 - 2011
- [j14]Nicholas J. Cotton, Bogdan M. Wilamowski:
Compensation of Nonlinearities Using Neural Networks Implemented on Inexpensive Microcontrollers. IEEE Trans. Ind. Electron. 58(3): 733-740 (2011) - [j13]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): 5438-5450 (2011) - 2010
- [j12]Bogdan M. Wilamowski, Hao Yu:
Improved computation for Levenberg-Marquardt training. IEEE Trans. Neural Networks 21(6): 930-937 (2010) - [j11]Bogdan M. Wilamowski, Hao Yu:
Neural Network Learning Without Backpropagation. IEEE Trans. Neural Networks 21(11): 1793-1803 (2010) - [c13]Bogdan M. Wilamowski:
Design of Network Based Software. AINA 2010: 4-10 - [c12]Nam Pham, Hao Yu, Bogdan M. Wilamowski:
Neural Network Trainer through Computer Networks. AINA 2010: 1203-1209 - [c11]Nicholas J. Cotton, Bogdan M. Wilamowski:
Compensation of Sensors Nonlinearity with Neural Networks. AINA 2010: 1210-1217
2000 – 2009
- 2008
- [j10]Joel D. Hewlett, Bogdan M. Wilamowski, Günhan Dündar
Optimization Using a Modified Second-Order Approach With Evolutionary Enhancement. IEEE Trans. Ind. Electron. 55(9): 3374-3380 (2008) - [j9]Bogdan M. Wilamowski, Nicholas J. Cotton, Okyay Kaynak
Computing Gradient Vector and Jacobian Matrix in Arbitrarily Connected Neural Networks. IEEE Trans. Ind. Electron. 55(10): 3784-3790 (2008) - 2006
- [j8]Janusz Kolbusz, Stanislaw Paszczynski, Bogdan M. Wilamowski:
Network Traffic Model for Industrial Environment. IEEE Trans. Ind. Informatics 2(4): 213-220 (2006) - 2005
- [p2]Aleksander Malinowski, Bogdan M. Wilamowski:
The Transmission Control Protocol. The Industrial Information Technology Handbook 2005: 1-14 - [p1]Aleksander Malinowski, Bogdan M. Wilamowski:
The User Datagram protocol. The Industrial Information Technology Handbook 2005: 1-5 - 2001
- [j7]Bogdan M. Wilamowski, Aleksander Malinowski
Internet as a new graphical user interface for the SPICE circuit simulator. IEEE Trans. Ind. Electron. 48(6): 1266-1268 (2001) - 2000
- [j6]Bogdan M. Wilamowski, J. Binfet, M. Okyay Kaynak:
VLSI Implementation of Neural Networks. Int. J. Neural Syst. 10(3): 191-197 (2000) - [j5]Mehmet Önder Efe
Stable training of computationally intelligent systems by using variable structure systems technique. IEEE Trans. Ind. Electron. 47(2): 487-496 (2000) - [j4]Bogdan M. Wilamowski, Okyay Kaynak
Oil well diagnosis by sensing terminal characteristics of the induction motor. IEEE Trans. Ind. Electron. 47(5): 1100-1107 (2000) - [c10]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: 3746-3751
1990 – 1999
- 1999
- [j3]Bogdan M. Wilamowski, Richard C. Jaeger, M. Okyay Kaynak:
Neuro-fuzzy architecture for CMOS implementation. IEEE Trans. Ind. Electron. 46(6): 1132-1136 (1999) - [j2]Yasuhiro Ota, Bogdan M. Wilamowski:
Analog implementation of pulse-coupled neural networks. IEEE Trans. Neural Networks 10(3): 539-544 (1999) - [c9]Bogdan M. Wilamowski, Yixin Chen, Aleksander Malinowski
Efficient algorithm for training neural networks with one hidden layer. IJCNN 1999: 1725-1728 - [c8]Bogdan M. Wilamowski, Don L. Jordan:
A synchronous high-speed, high-accuracy, loser-take-all circuit. IJCNN 1999: 2306-2309 - [c7]Eric L. Brown, Bogdan M. Wilamowski:
Spatial to temporal conversion of images using a pulse-coupled neural network. IJCNN 1999: 2310-2314 - [c6]Alan M. Safer, Bogdan M. Wilamowski:
Using neural networks to predict abnormal returns of quarterly earnings. IJCNN 1999: 3840-3843 - 1997
- [c5]Yasuhiro Ota, Bogdan M. Wilamowski:
VLSI architecture for analog bidirectional pulse-coupled neural networks. ICNN 1997: 964-968 - [c4]John E. McInroy, Bogdan M. Wilamowski:
Bipolar pattern association using a recurrent winner take all network. ICNN 1997: 1231-1234 - [c3]Karina Vieira, Bogdan M. Wilamowski, Robert Kubichek:
Speaker identification based on a modified Kohonen network. ICNN 1997: 2103-2106 - 1996
- [j1]Yasuhiro Ota, Bogdan M. Wilamowski:
Cmos Implementation of a voltage-Mode Fuzzy Min-Max Controller. J. Circuits Syst. Comput. 6(2): 171-184 (1996) - [c2]Bogdan M. Wilamowski, Richard C. Jaeger, Mary Lou Padgett, Lawrence J. Myers:
CMOS implementation of a pulse-coupled neuron cell. ICNN 1996: 986-990 - [c1]Bogdan M. Wilamowski, Richard C. Jaeger:
Implementation of RBF type networks by MLP networks. ICNN 1996: 1670-1675
Coauthor Index
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