Implementation of RBF type networks by MLP networks. - Bogdan M. Wilamowski; Richard C. Jaeger (ICNN, 1996)

CMOS implementation of a pulse-coupled neuron cell. - Bogdan M. Wilamowski; Richard C. Jaeger; Mary Lou Padgett; Lawrence J. Myers (ICNN, 1996)

Cmos Implementation of a voltage-Mode Fuzzy Min-Max Controller. - Yasuhiro Ota; Bogdan M. Wilamowski (J. Circuits Syst. Comput., 1996)

Bipolar pattern association using a recurrent winner take all network. - John E. McInroy; Bogdan M. Wilamowski (ICNN, 1997)

VLSI architecture for analog bidirectional pulse-coupled neural networks. - Yasuhiro Ota; Bogdan M. Wilamowski (ICNN, 1997)

Speaker identification based on a modified Kohonen network. - Karina Vieira; Bogdan M. Wilamowski; Robert Kubichek (ICNN, 1997)

Spatial to temporal conversion of images using a pulse-coupled neural network. - Eric L. Brown; Bogdan M. Wilamowski (IJCNN, 1999)

Using neural networks to predict abnormal returns of quarterly earnings. - Alan M. Safer; Bogdan M. Wilamowski (IJCNN, 1999)

Efficient algorithm for training neural networks with one hidden layer. - Bogdan M. Wilamowski; Yixin Chen 002; Aleksander Malinowski (IJCNN, 1999)

A synchronous high-speed, high-accuracy, loser-take-all circuit. - Bogdan M. Wilamowski; Don L. Jordan (IJCNN, 1999)

Neuro-fuzzy architecture for CMOS implementation. - Bogdan M. Wilamowski; Richard C. Jaeger; M. Okyay Kaynak (IEEE Trans. Ind. Electron., 1999)

Analog implementation of pulse-coupled neural networks. - Yasuhiro Ota; Bogdan M. Wilamowski (IEEE Trans. Neural Networks, 1999)

Establishment of a sliding mode in a nonlinear system by tuning the parameters of a fuzzy controller. - Mehmet Önder Efe; Okyay Kaynak; Bogdan M. Wilamowski (SMC, 2000)

VLSI Implementation of Neural Networks. - Bogdan M. Wilamowski; J. Binfet; M. Okyay Kaynak (Int. J. Neural Syst., 2000)

Stable training of computationally intelligent systems by using variable structure systems technique. - Mehmet Önder Efe; Okyay Kaynak; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2000)

Oil well diagnosis by sensing terminal characteristics of the induction motor. - Bogdan M. Wilamowski; Okyay Kaynak (IEEE Trans. Ind. Electron., 2000)

Internet as a new graphical user interface for the SPICE circuit simulator. - Bogdan M. Wilamowski; Aleksander Malinowski; John Regnier (IEEE Trans. Ind. Electron., 2001)

A VLSI implementation of mixed-signal mode bipolar neuron circuitry. - Dong Pan; Bogdan M. Wilamowski (IJCNN, 2003)

Solving parity-N problems with feedforward neural networks. - Bogdan M. Wilamowski; David K. Hunter; Aleksander Malinowski (IJCNN, 2003)

The Transmission Control Protocol. - Aleksander Malinowski; Bogdan M. Wilamowski (The Industrial Information Technology Handbook, 2005)

The User Datagram protocol. - Aleksander Malinowski; Bogdan M. Wilamowski (The Industrial Information Technology Handbook, 2005)

Network Traffic Model for Industrial Environment. - Janusz Kolbusz; Stanislaw Paszczynski; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2006)

Optimization Using a Modified Second-Order Approach With Evolutionary Enhancement. - Joel D. Hewlett; Bogdan M. Wilamowski; Günhan Dündar (IEEE Trans. Ind. Electron., 2008)

Computing Gradient Vector and Jacobian Matrix in Arbitrarily Connected Neural Networks. - Bogdan M. Wilamowski; Nicholas J. Cotton; Okyay Kaynak; Günhan Dündar (IEEE Trans. Ind. Electron., 2008)

Compensation of Sensors Nonlinearity with Neural Networks. - Nicholas J. Cotton; Bogdan M. Wilamowski (AINA, 2010)

Neural Network Trainer through Computer Networks. - Nam Pham; Hao Yu; Bogdan M. Wilamowski (AINA, 2010)

Design of Network Based Software. - Bogdan M. Wilamowski (AINA, 2010)

Improved computation for Levenberg-Marquardt training. - Bogdan M. Wilamowski; Hao Yu (IEEE Trans. Neural Networks, 2010)

Neural Network Learning Without Backpropagation. - Bogdan M. Wilamowski; Hao Yu (IEEE Trans. Neural Networks, 2010)

Compensation of Nonlinearities Using Neural Networks Implemented on Inexpensive Microcontrollers. - Nicholas J. Cotton; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2011)

Advantages of Radial Basis Function Networks for Dynamic System Design. - Hao Yu; Tiantian Xie; Stanislaw Paszczynski; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2011)

A design methodology of lossy transconductance filters. - Pradeep Dandamudi; Timothy A. Brown; Xing Wu 009; Marcin Jagiela; Bogdan M. Wilamowski (IECON, 2012)

Introduction to the Special Section on Intelligent Systems. - Milos Manic; Honghai Liu 001; Adam Slowik; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2012)

Selection of Proper Neural Network Sizes and Architectures - A Comparative Study. - David K. Hunter; Hao Yu; Michael S. Pukish III; Janusz Kolbusz; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2012)

Fast and Efficient Second-Order Method for Training Radial Basis Function Networks. - Tiantian Xie; Hao Yu; Joel D. Hewlett; Pawel Rózycki; Bogdan M. Wilamowski (IEEE Trans. Neural Networks Learn. Syst., 2012)

Segmentation of cerebral cortex MRI images with artificial neural network (ANN) training. - Michael S. Pukish III; Shumin Wang; Bogdan M. Wilamowski (HSI, 2013)

An Incremental Design of Radial Basis Function Networks. - Hao Yu; Philip D. Reiner; Tiantian Xie; Tomasz Bartczak; Bogdan M. Wilamowski (IEEE Trans. Neural Networks Learn. Syst., 2014)

Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures. - Pawel Rózycki; Janusz Kolbusz; Tomasz Bartczak; Bogdan M. Wilamowski (ICAISC (1), 2015)

Differential amplifiers with enhanced linearity and temperature compensation. - Zhan Su; Bogdan M. Wilamowski (ICIT, 2015)

Single-DC-source 7-level CHB inverter with multicarrier level-shifted PWM. - Hani Vahedi; Mohammad Sharifzadeh; Kamal Al-Haddad; Bogdan M. Wilamowski (IECON, 2015)

An algorithm for visualization of big data in a two-dimensional space. - Bo Wu; Bogdan M. Wilamowski (IECON, 2015)

Cubic spline as an alternative to methods of machine learning. - Jordan Richardson; Philip D. Reiner; Bogdan M. Wilamowski (INDIN, 2015)

Adaptive integratable hardware realization of analog neural networks for nonlinear system. - Zhan Su; Bogdan M. Wilamowski; Ruixin Wang; Fa Foster Dai (INDIN, 2015)

Efficient incremental construction of RBF networks using quasi-gradient method. - Philip D. Reiner; Bogdan M. Wilamowski (Neurocomputing, 2015)

Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data. - Gopikrishna Deshpande; Peng Wang; D. Rangaprakash; Bogdan M. Wilamowski (IEEE Trans. Cybern., 2015)

A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies. - Carlo Cecati; Janusz Kolbusz; Pawel Rózycki; Pierluigi Siano; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2015)

PolyNet: A Polynomial-Based Learning Machine for Universal Approximation. - Michael S. Pukish III; Pawel Rózycki; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2015)

A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning. - Xing Wu 009; Pawel Rózycki; Bogdan M. Wilamowski (IEEE Trans. Neural Networks Learn. Syst., 2015)

Parallel Learning of Feedforward Neural Networks Without Error Backpropagation. - Jaroslaw Bilski; Bogdan M. Wilamowski (ICAISC (1), 2016)

Estimation of Deep Neural Networks Capabilities Using Polynomial Approach. - Pawel Rózycki; Janusz Kolbusz; Roman Korostenskyi; Bogdan M. Wilamowski (ICAISC (1), 2016)

Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization. - Xing Wu 009; Pawel Rózycki; Bogdan M. Wilamowski (ICAISC (1), 2016)

An efficient grid-based clustering method by finding density peaks. - Bo Wu 024; Bogdan M. Wilamowski (IECON, 2016)

Linearization of Bipolar Amplifiers Based on Neural-Network Training Algorithm. - Zhan Su; Janusz Kolbusz; Bogdan M. Wilamowski (IEEE Trans. Ind. Electron., 2016)

Nearest-Neighbor Spline Approximation (NNSA) Improvement to TSK Fuzzy Systems. - Jordan Richardson; Janusz Korniak; Philip D. Reiner; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2016)

Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation. - Jaroslaw Bilski; Bogdan M. Wilamowski (ICAISC (1), 2017)

The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem. - Janusz Kolbusz; Pawel Rózycki; Bogdan M. Wilamowski (ICAISC (1), 2017)

Discrete Cosine Transformation as Alternative to Other Methods of Computational Intelligence for Function Approximation. - Angelika Olejczak; Janusz Korniak; Bogdan M. Wilamowski (ICAISC (1), 2017)

Improvement of RBF Training by Removing of Selected Pattern. - Pawel Rózycki; Janusz Kolbusz; Oleksandr Lysenko; Bogdan M. Wilamowski (ICAISC (1), 2017)

A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise. - Bo Wu 024; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2017)

Neural Networks Saturation Reduction. - Janusz Kolbusz; Pawel Rózycki; Oleksandr Lysenko; Bogdan M. Wilamowski (ICAISC (1), 2018)

Soft Patterns Reduction for RBF Network Performance Improvement. - Pawel Rózycki; Janusz Kolbusz; Oleksandr Lysenko; Bogdan M. Wilamowski (ICAISC (1), 2018)

Discrete Cosine Transform Spectral Pooling Layers for Convolutional Neural Networks. - James Seale Smith; Bogdan M. Wilamowski (ICAISC (1), 2018)

Implementation of Deep Neural Networks for Industry Applications. - Pawel Rózycki; Janusz Kolbusz; Grzegorz Krzos; Bogdan M. Wilamowski (IECON, 2018)

Nonlinear System Modeling Using RBF Networks for Industrial Application. - Xi Meng; Pawel Rózycki; Junfei Qiao 001; Bogdan M. Wilamowski (IEEE Trans. Ind. Informatics, 2018)

Effective Training of RBF Networks. - Pawel Rózycki; Janusz Kolbusz; Aleksander Malinowski; Bogdan M. Wilamowski (HSI, 2019)

The Impact of Architecture on the Deep Neural Networks Training. - Pawel Rózycki; Janusz Kolbusz; Aleksander Malinowski; Bogdan M. Wilamowski (HSI, 2019)

Constructive Cascade Learning Algorithm for Fully Connected Networks. - Xing Wu 009; Pawel Rózycki; Janusz Kolbusz; Bogdan M. Wilamowski (ICAISC (1), 2019)

Short-Term Load Forecasting with LSTM Based Ensemble Learning. - Lingxiao Wang 004; Shiwen Mao; Bogdan M. Wilamowski (iThings/GreenCom/CPSCom/SmartData, 2019)

DCMDS-RV: density-concentrated multi-dimensional scaling for relation visualization. - Bo Wu 024; James Seale Smith; Bogdan M. Wilamowski; R. M. Nelms (J. Vis., 2019)

Neural Network Training With Levenberg-Marquardt and Adaptable Weight Compression. - James Seale Smith; Bo Wu 024; Bogdan M. Wilamowski (IEEE Trans. Neural Networks Learn. Syst., 2019)

A novel modular RBF neural network based on a brain-like partition method. - Junfei Qiao 001; Xi Meng; Wen-Jing Li; Bogdan M. Wilamowski (Neural Comput. Appl., 2020)

Ensemble Learning for Load Forecasting. - Lingxiao Wang 004; Shiwen Mao; Bogdan M. Wilamowski; R. M. Nelms (IEEE Trans. Green Commun. Netw., 2020)

Pre-Trained Models for Non-Intrusive Appliance Load Monitoring. - Lingxiao Wang 004; Shiwen Mao; Bogdan M. Wilamowski; Robert M. Nelms (IEEE Trans. Green Commun. Netw., 2022)