Bernard Widrow - researchr alias

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Viewing Publication 1 - 58 from 58

2023

The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematicsYingxu Wang 0001, Bernard Widrow, C. A. R. Hoare, Witold Pedrycz, Robert C. Berwick, Konstantinos N. Plataniotis, Imre J. Rudas, Jianhua Lu, Janusz Kacprzyk. fcomp, 5, 2023. [doi]

2022

Recent Breakthroughs in Cognitive Informatics and Cognitive Computing towards Autonomous AI (Plenary Panel Report-I of IEEE ICCI*CC'22)Yingxu Wang 0001, Bernard Widrow, Witold Pedrycz, Janusz Kacprzyk, Sam Kwong, Konstantinos N. Plataniotis, Ling Guan, Petros Spachos. IEEEicci 2022: 258-267 [doi]

Cybernetics 2.0Bernard Widrow. IEEEicci 2022: 1 [doi]

2021

2018

Cognitive Informatics: Towards Cognitive Machine Learning and Autonomous Knowledge ManipulationYingxu Wang, Newton Howard, Janusz Kacprzyk, Ophir Frieder, Phillip Sheu, Rodolfo A. Fiorini, Marina L. Gavrilova, Shushma Patel, Jun Peng, Bernard Widrow. ijcini, 12(1):1-13, 2018. [doi]

Nature's Learning Rule: The Hebbian-LMS AlgorithmBernard Widrow. IEEEicci 2018: 2 [doi]

2017

Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical EngineeringYingxu Wang, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu, GuiMing Luo, Fumio Mizoguchi, Shushma Patel, Victor Raskin, Shusaku Tsumoto, Wei Wei, Du Zhang. ijcini, 11(1):1-15, 2017. [doi]

2016

Cognitive Intelligence: Deep Learning, Thinking, and Reasoning by Brain-Inspired SystemsYingxu Wang, Bernard Widrow, Lotfi A. Zadeh, Newton Howard, Sally Wood, Virendrakumar C. Bhavsar, Gerhard Budin, Christine W. Chan, Rodolfo A. Fiorini, Marina L. Gavrilova, Duane F. Shell. ijcini, 10(4):1-20, 2016. [doi]

Hebbian learning and the LMS algorithmBernard Widrow. IEEEicci 2016: 2 [doi]

2015

2014

IntroductionNazmul H. Siddique, Bernard Widrow, Liam P. Maguire. IJNS, 24(5), 2014. [doi]

2013

Reply to the Comments on the "No-Prop" algorithmBernard Widrow. NN, 48:204, 2013. [doi]

The No-Prop algorithm: A new learning algorithm for multilayer neural networksBernard Widrow, Aaron Greenblatt, Youngsik Kim, Dookun Park. NN, 37:182-188, 2013. [doi]

2012

Exploiting the harmonic structure for speech enhancementEunjoon Cho, Julius O. Smith, Bernard Widrow. icassp 2012: 4569-4572 [doi]

Memory-based Adaptive System Control with an example of Double Inverted PendulumDookun Park, Bernard Widrow. itaero 2012: [doi]

IntroductionMia Nazmul Haque Siddique, Bernard Widrow, Filip Ponulak, L. J. McDaid. IJNS, 22(4), 2012. [doi]

2010

2009

Cognitive memory: Human and machineBernard Widrow, M. Etemadi. ijcnn 2009: 3365-3372 [doi]

2005

Thinking about thinking: the discovery of the LMS algorithmBernard Widrow. spm, 22(1):100-106, 2005. [doi]

2003

Special Issue on Speech Processing for Hearing AidsFa-Long Luo, Bernard Widrow, Chaslav Pavlovic. speech, 39(1-2):1-3, 2003. [doi]

Statistical efficiency of adaptive algorithmsBernard Widrow, Max Kamenetsky. NN, 16(5-6):735-744, 2003. [doi]

Microphone arrays for hearing aids: An overviewBernard Widrow, Fa-Long Luo. speech, 39(1-2):139-146, 2003. [doi]

2002

NeurointerfacesBernard Widrow, Marcelo M. Lamego. tcst, 10(2):221-228, 2002. [doi]

2001

Neural dynamic optimization for control systems. I. BackgroundChang-Yun Seong, Bernard Widrow. tsmc, 31(4):482-489, 2001.

Neural dynamic optimization for control systems.II. TheoryChang-Yun Seong, Bernard Widrow. tsmc, 31(4):490-501, 2001.

Neural dynamic optimization for control systems.III. ApplicationsChang-Yun Seong, Bernard Widrow. tsmc, 31(4):502-513, 2001.

1994

Application of neural networks to load-frequency control in power systemsFrançoise Beaufays, Youssef Abdel-Magid, Bernard Widrow. NN, 7(1):183-194, 1994. [doi]

The Basic Ideas in Neural NetworksDavid E. Rumelhart, Bernard Widrow, Michael A. Lehr. CACM, 37(3):87-92, 1994.

Neural Networks: Applications in Industry, Business and ScienceBernard Widrow, David E. Rumelhart, Michael A. Lehr. CACM, 37(3):93-105, 1994.

1993

Adaptive neural networks and their applicationsBernard Widrow, Michael A. Lehr. ijis, 8(4):453-507, 1993. [doi]

Learning algorithms for adaptive processing and controlBernard Widrow, Michael A. Lehr, Françoise Beaufays, Eric A. Wan, Michel Bilello. icnn 1993: 1-8 [doi]

1990

Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weightsDerrick Nguyen, Bernard Widrow. ijcnn 1990: 21-26 [doi]

Sensitivity of feedforward neural networks to weight errorsMaryhelen Stevenson, Rodney Winter, Bernard Widrow. tnn, 1(1):71-80, 1990. [doi]

30 years of adaptive neural networks: perceptron, Madaline, and backpropagationBernard Widrow, Michael A. Lehr. pieee, 78(9):1415-1442, 1990. [doi]

1988

An adaptive neural net controller with visual inputsViral V. Tolat, Bernard Widrow. NN, 1(Supplement-1):362-365, 1988. [doi]

An adaptive 'broom balancer' with visual inputsViral V. Tolat, Bernard Widrow. icnn 1988: 641-647 [doi]

Layered neural nets for pattern recognitionBernard Widrow, Rodney G. Winter, Robert A. Baxter. tsp, 36(7):1109-1118, 1988. [doi]

Neural Nets for Adaptive Filtering and Adaptive Pattern RecognitionBernard Widrow, Rodney Winter. Computer, 21(3):25-39, 1988.

MADALINE Rule II: A training algorithm for neural networksRodney Winter, Bernard Widrow. NN, 1(Supplement-1):148, 1988. [doi]

MADALINE RULE II: a training algorithm for neural networksRodney Winter, Bernard Widrow. icnn 1988: 401-408 [doi]

1986

Bandpass adaptive pole-zero filteringJohn J. Shynk, Bernard Widrow. icassp 1986: 2107-2110 [doi]

1984

The least mean fourth (LMF) adaptive algorithm and its familyE. Walach, Bernard Widrow. TIT, 30(2):275-282, 1984.

On the statistical efficiency of the LMS algorithm with nonstationary inputsBernard Widrow, E. Walach. TIT, 30(2):211-221, 1984.

Adaptive signal processing for adaptive controlBernard Widrow, Eugene Walach. icassp 1984: 191-194 [doi]

1981

Adaptive design of digital filtersBernard Widrow, Paul F. Titchener, Richard P. Gooch. icassp 1981: 243-246 [doi]

1979

A review of adaptive antennasBernard Widrow. icassp 1979: 273-278 [doi]

1973

The rubber-mask technique - I. Pattern measurement and analysisBernard Widrow. PR, 5(3):175-176, 1973. [doi]

The rubber-mask technique-II. Pattern storage and recognitionBernard Widrow. PR, 5(3):199-211, 1973. [doi]

Punish/Reward: Learning with a Critic in Adaptive Threshold SystemsBernard Widrow, Narendra K. Gupta, Sidhartha Maitra. tsmc, 3(5):455-465, 1973. [doi]

1965

A Critical Comparison of Two Kinds of Adaptive Classification NetworksKarl Steinbuch, Bernard Widrow. TC, 14(5):737-740, 1965. [doi]

1954

A radio-frequency nondestructive readout for magnetic-core memoriesBernard Widrow. TC, 3(4):12-15, 1954. [doi]

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