ADAPTIVE SWITCHING CIRCUITS

Cited by (1,005)

Items 701–800 of 1,005

1. Analyzing the evolutionary pressures in XCS
   Martin V. Butz, Martin Pelikán · 2001
2. Place Learning and the Dynamics of Spatial Navigation: A Neural Network Approach
   Néstor A. Schmajuk, Hugh T. Blair · 1993 · Adaptive Behavior
3. GST-memristor-based online learning neural networks
   Xiao, Shuixin, Xie, Xudong, Wen, Shiping, Zeng, Zhigang, Huang, Tingwen, Jiang, Jianhua · 2018 · Neurocomputing
4. Learning Algorithms for Human–Machine Interfaces
   Zachary C. Danziger, A. Fishbach, Ferdinando A. Mussa-Ivaldi · 2009 · IEEE Transactions on Biomedical Engineering
5. Stock Price Forecast Based on LSTM Neural Network
   Qiang Jiang, Chenglin Tang, Chen Chen, Xin Wang, Qing Yun Huang · 2018 · Lecture notes on multidisciplinary industrial engineering
6. Online Ranking by Projecting
   Koby Crammer, Yoram Singer · 2004 · Neural Computation
7. A PRINCIPAL COMPONENT ALGORITHM FOR FEEDFORWARD ACTIVE NOISE AND VIBRATION CONTROL
   Randolph H. Cabell, Chris R. Fuller · 1999 · Journal of Sound and Vibration
8. "Pattern recognition" computers as models for form perception.
   Leonard Uhr · 1963 · Psychological Bulletin
9. Efficient Processing of Deep Neural Networks: A Tutorial and Survey
   Vivienne Sze, Yu‐Hsin Chen, Tien-Ju Yang, Joel Emer · 2017 · arXiv (Cornell University)
10. Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
    Markus Johannes Ankenbrand, Liliia Shainberg, Michael Hock, David Lohr, Wolfgang Schreiber · 2021 · BMC Medical Imaging
11. Optimal learning in artificial neural networks: A review of theoretical results
    Monica Bianchini, Marco Gori · 1996 · Neurocomputing
12. The robustness of the p -norm algorithms
    Claudio Gentile, Nick Littlestone · 1999 · Conference on Learning Theory
13. The Use of a Bayesian Neural Network Model for Classification Tasks
    Anders G. Holst · 1997
14. Artificial Intelligence for Everyone
    Pedro L. Gambús, Steven L. Shafer · 2017 · Anesthesiology
15. Change one can believe in: Adding learning to computational models of self-regulation
    Jeffrey B. Vancouver, Justin M. Weinhardt, Ronaldo Vigo · 2014 · Organizational Behavior and Human Decision Processes
16. ADALINE (ADAptive Linear NEuron)-based coordinated control for wind power fluctuations smoothing with reduced BESS (battery energy storage system) capacity
    Mohsen Jannati, Seyed Hossein Hosseinian, Behrooz Vahidi, Guojie Li · 2016 · Energy
17. IDEPAR: a multichannel digital video broadcasting‐terrestrial passive radar technological demonstrator in terrestrial radar scenarios
    María-Pilar Jarabo-Amores, José-Luis Bárcena-Humanes, Pedro Gómez‐del‐Hoyo, Nerea del-Rey-Maestre, Diego Juara‐Casero, Fco‐Javier Gaitán‐Cabañas, David Mata‐Moya · 2016 · IET Radar Sonar & Navigation
18. Deep learning: an overview and main paradigms
    Vladimir A. Golovko · 2017 · Optical Memory and Neural Networks
19. Organic electronic synapses with pinched hystereses based on graphene quantum-dot nanocomposites
    Hwan Young Choi, Chaoxing Wu, Chang Han Bok, Tae Whan Kim · 2017 · NPG Asia Materials
20. Identification of new particle formation events with deep learning
    Jorma Joutsensaari, Matthew Ozon, Tuomo Nieminen, Santtu Juhani Mikkonen, Timo Lähivaara, Stefano Decesari, Maria Cristina Facchini, Ari Laaksonen, Kari E. J. Lehtinen · 2018 · Atmospheric chemistry and physics
21. A memristor-based neural network circuit with synchronous weight adjustment
    Le Yang, Zhigang Zeng, Xinming Shi · 2019 · Neurocomputing
22. Learning to synchronize: How biological agents can couple neural task modules for dealing with the stability-plasticity dilemma
    Pieter Verbeke, Tom Verguts · 2019 · PLoS Computational Biology
23. Overview of hybrid optical neural networks
    Suganda Jutamulia, F. T. S. Yu · 1996 · Optics & Laser Technology
24. Predicting the outcome of renal transplantation
    Julia Lasserre, Steffen Arnold, Martin Vingron, Petra Reinke, Carl Hinrichs · 2011 · Journal of the American Medical Informatics Association
25. Developments in active noise control sound systems for magnetic resonance imaging
    John Chambers, Dave Bullock, Yuvi Kahana, Alexander Kots, Alan Richard Palmer · 2006 · Applied Acoustics
26. Jednokierunkowe sieci neuronowe w modelowaniu zjawisk ekonomicznych
    Paweł Lula · 1999
27. Identification of Chemical Processes using Recurrent Networks
    Hong-Te Su, Thomas J. McAvoy · 1991 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
28. Transparent Fuzzy Systems in Modelling and Control
    Andri Riid, Ennu Rüstern · 2003 · Studies in fuzziness and soft computing
29. Associative Reinforcement Learning: Functions in k-DNF
    Leslie Pack Kaelbling · 1994 · Machine Learning
30. The Bootstrap Widrow-Hoff Rule as a Cluster-Formation Algorithm
    Geoffrey E. Hinton, Steven J. Nowlan · 1990 · Neural Computation
31. A Tree-Structured Algorithm for Reducing Computation in Networks with Separable Basis Functions
    Terence D. Sanger · 1991 · Neural Computation
32. Artificial Neural Networks
    Duc Truong Pham, Xing Liu · 1995 · Springer eBooks
33. Evolving a learning algorithm for the binary perceptron
    José F. Fontanari, Ron Meir · 1991 · Network Computation in Neural Systems
34. Cue competition in human categorization: Contingency or the Rescorla-Wagner Learning Rule? Comment on Shanks (1991).
    Eric R. Melz, Patricia W. Cheng, Keith J. Holyoak, Michael R. Waldmann · 1993 · Journal of Experimental Psychology Learning Memory and Cognition
35. Computational Modeling of Learning Biases in Stress Typology
    Robert Staubs · 2021
36. Adaptive precision pooling of model neuron activities predicts the efficiency of human visual learning
    Robert A. Jacobs · 2009 · Journal of Vision
37. Predictive olfactory learning in Drosophila
    Chang Zhao, Yves F. Widmer, Sören Diegelmann, Mihai Alexandru Petrovici, Simon G. Sprecher, Walter Senn · 2021 · Scientific Reports
38. COLOR IMAGE CLASSIFICATION SYSTEMS FOR POULTRY VISCERA INSPECTION
    Kuanglin Chao, Yud-Ren Chen, H. Early, B. Park · 1999 · Applied Engineering in Agriculture
39. Active control of fan noise from a turbofan engine
    Russell H. Thomas, Ricardo A. Burdisso, Christopher R. Fuller, Walter F. O’Brien · 1994 · AIAA Journal
40. Failure Diagnosis and Prognosis of Rolling - Element Bearings using Artificial Neural Networks: A Critical Overview
    B K N Rao, P. Srinivasa Pai, T.N. Nagabhushana · 2012 · Journal of Physics Conference Series
41. A brief history of applied cognitive psychology
    Robert R. Hoffman, Kenneth A. Deffenbacher · 1992 · Applied Cognitive Psychology
42. Birth, Life, and Death in Microelectronic Systems
    Bernard Carlos Widrow, William H. Pierce, James B. Angell · 1961 · IRE Transactions on Military Electronics
43. A 160-MHz analog equalizer for magnetic disk read channels
    S. Kiriaki, T. Lakshmi Viswanathan, Gennady Feygin, Robert Bogdan Staszewski, R. Pierson, Bill Krenik, M. de Wit, K. Nagaraj · 1997 · IEEE Journal of Solid-State Circuits
44. On using feedforward neural networks for clinical diagnostic tasks
    Georg Dorffner, Gerold Porenta · 1994 · Artificial Intelligence in Medicine
45. Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals
    Steven Van Vaerenbergh · 2010 · Tesis Doctorals en Xarxa (Consorci de Serveis Universitaris de Catalunya)
46. A review of different dimensionality reduction methods for the prediction of sugar content from hyperspectral images of wine grape berries
    Rui Silva, Pedro Melo‐Pinto · 2021 · Applied Soft Computing
47. Batch-Online Semi-Blind Source Separation Applied to Multi-Channel Acoustic Echo Cancellation
    Francesco Nesta, Ted S. Wada, Biing-Hwang Fred Juang · 2010 · IEEE Transactions on Audio Speech and Language Processing
48. A neural network controller for switching power converters
    H.-C. Chan, K. T. Chau, C.C. Chan · 2002 · IEEE Power Electronics Specialists Conference (PESC)
49. Adaline and its application in power quality disturbances detection and frequency tracking
    Qian Ai, Yuguang Zhou, Weihua Xu · 2006 · Electric Power Systems Research
50. Quantitative models of Pavlovian conditioning
    Edgar Harry Vogel, Marı́a E. Castro, Marı́a A. Saavedra · 2004 · Brain Research Bulletin
51. Adaptive Cancelation of Self-Generated Sensory Signals in a Whisking Robot
    Sean Anderson, Martin J. Pearson, Tony Pipe, Tony J. Prescott, Paul Dean, John Porrill · 2010 · IEEE Transactions on Robotics
52. Autoregressive and mixed autoregressive-moving average models and spectra
    Tadeusz J. Ulrych, M. Ooe · 1979 · Topics in applied physics
53. Incremental subgradient methods for nondifferentiable optimization
    Andjelija Geary, Dimitri P. Bertsekas · 2003 · IEEE Conference on Decision and Control (CDC)
54. Application of Noise Cancelling and Damage Detection Algorithms in NDE of Concrete Bridge Decks Using Impact Signals
    Gang Zhang, Ronald S. Harichandran, Pradeep Ramuhalli · 2011 · Journal of Nondestructive Evaluation
55. Anterior Temporal Lobe Tracks the Formation of Prejudice
    Hugo J. Spiers, Bradley C. Love, Mike E. Le Pelley, Charlotte E Gibb, Robin A. Murphy · 2016 · Journal of Cognitive Neuroscience
56. Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model
    Rosângela Cintra, Haroldo Fraga de Campos Velho · 2018 · InTech eBooks
57. A Rescorla-Wagner drift-diffusion model of conditioning and timing
    André Luzardo, Eduardo Alonso, Esther Mondragón · 2017 · PLoS Computational Biology
58. Predictive Coding, Variational Autoencoders, and Biological Connections
    Joseph Marino · 2021 · Neural Computation
59. Application of Artificial Neural Network (ANN) to improve forecasting of sea level
    Alessandro Filippo, Audálio Rebelo Torres, Björn Kjerfve, André Monat · 2011 · Ocean & Coastal Management
60. Structure Learning in a Sensorimotor Association Task
    Daniel A. Braun, Stephan Waldert, Ad Aertsen, Daniel M. Wolpert, Carsten Mehring · 2010 · PLoS ONE
61. Process Data Analysis and Interpretation
    J.F. Davis, Michael J. Piovoso, Karlene A. Hoo, Bhavik R. Bakshi · 1999 · Advances in chemical engineering
62. Bowel-sound signal enhancement using adaptive filtering
    Hussein A. Mansy, Richard H. Sandler · 1997 · IEEE Engineering in Medicine and Biology Magazine
63. Image recognition neural network: IRNN
    Krzysztof J. Cios, Inho Shin · 1995 · Neurocomputing
64. Neural Networks and Fuzzy Systems
    Bogdan M. Wilamowski · 2018 · CRC Press eBooks
65. Neural Networks and Their Application to Power Engineering
    M.A. El-Sharkawi, Robert J. Marks, Siri Weerasooriya · 1991 · Control and dynamic systems
66. An Adaptive Pattern Classification System
    John D. Patterson, Baxter F. Womack · 1966 · IEEE Transactions on Systems Science and Cybernetics
67. Simulating the Acquisition of Verb Inflection in Typically Developing Children and Children With Developmental Language Disorder in English and Spanish
    Daniel T Freudenthal, Michael Ramscar, Laurence B. Leonard, Julián M. Pine · 2021 · Cognitive Science
68. An overview of the use of neural networks for data mining tasks
    Frederic Theodor Stahl, Ivan Jordanov · 2012 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
69. Antenna arrays: Performance limits and geometry optimization
    Peter J. Bevelacqua · 2008
70. A comparative survey of fast affine projection algorithms
    Feiran Yang, Jun Yang · 2018 · Digital Signal Processing
71. Airport artificial intelligence can detect deception: or am i lying?
    Louise Marie Jupe, David Adam Keatley · 2019 · Security Journal
72. Model-based estimation of rail roughness from axle box acceleration
    Astrid Pieringer, Wolfgang Kropp · 2022 · Applied Acoustics
73. Reinforcement learning for joint pricing, lead-time and scheduling decisions in make-to-order systems
    Xueping Li, Jiao Wang, Rapinder Singh Sawhney · 2012 · European Journal of Operational Research
74. Digital protective relaying through recursive least-squares identification
    Alf J Isaksson · 1988 · IEE Proceedings C Generation Transmission and Distribution
75. Adaptive filter theory and applications
    David D. Falconer · 2005 · Springer eBooks
76. The anticipatory classifier system and genetic generalization
    A. Martin V. Butz, B. David E. Goldberg, C. Wolfgang Stolzmann · 2002 · Natural Computing
77. On pattern classification algorithms--Introduction and survey
    Yu‐Chi Ho, Ashok K. Agrawala · 1968 · IEEE Transactions on Automatic Control
78. Adaptive Network based Fuzzy Inference System (ANFIS) as a Tool for System Identification with Special Emphasis on Training Data Minimization
    Mrinal Buragohain · 2009
79. Fire detection algorithms using multimodal signal and image analysis
    Behçet Uğur Töreyın · 2009 · Bilkent University Institutional Repository (Bilkent University)
80. Cloud detection in satellite images with classical and deep neural network approach: A review
    Rachana Gupta, Satyasai Jagannath Nanda · 2022 · Multimedia Tools and Applications
81. Deep learning: Historical overview from inception to actualization, models, applications and future trends
    Olufisayo Ekundayo, Absalom El-Shamir Ezugwu · 2025 · Applied Soft Computing
82. Selection of relevant features and examples in machine
    Avrim L. Bluma, Pat Langley B · 1997
83. What is special about orthographic processing?
    Jonathan Grainger, Thomas Hannagan · 2014 · Written Language & Literacy
84. Estimation of the radon concentration in soil related to the environmental parameters by a modified Adaline neural network
    Ali Negarestani, Saeid Setayeshi, Mohammad Ghannadi‐Maragheh, B. Akashe · 2003 · Applied Radiation and Isotopes
85. A robust incremental learning method for non-stationary environments
    David Martínez‐Rego, Beatriz Pérez‐Sánchez, Óscar Fontenla-Romero, Amparo Alonso‐Betanzos · 2011 · Neurocomputing
86. FPGA Implementation of the CCSDS 1.2.3 Standard for Real-Time Hyperspectral Lossless Compression
    Daniel Báscones, Carlos González, Daniel Mozos · 2017 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
87. An Efficient Kalman Noise Canceller for Cardiac Signal Analysis in Modern Telecardiology Systems
    A.K. Thasleem Sulthana, Md. Zıa Ur Rahman, Shafi Shahsavar Mirza · 2018 · IEEE Access
88. Using anticipation to create believable behaviour
    Carlos Martinho, Ana Paiva · 2006
89. Neural Network Implementations for PCA and Its Extensions
    Jialin Qiu, Hui Wang, Jiabin Lu, Biaobiao Zhang, Ke-Lin Du · 2012 · ISRN Artificial Intelligence
90. Overview of CAT: A Market Design Competition
    Cai, K, Enrico Gerding, Peter McBurney, Jinzhong Niu, Simon Parsons, Steve Phelps · 2009 · Research Portal (King's College London)
91. Use of neural networks for the creation of hourly global and diffuse solar irradiance data at representative locations in Greece
    Konstantinos P. Moustris, A.G. Paliatsos, Aristeidis A. Bloutsos, Kleanthis Nikolaidis, Irene P. Koronaki, Kosmas A. Kavadias · 2008 · Renewable Energy
92. Artemisa: A Personal Driving Assistant for Fuel Saving
    Víctor Corcoba Magaña, Mario Muñoz-Organero · 2015 · IEEE Transactions on Mobile Computing
93. Performance characteristics of the median LMS adaptive filter
    Geoffrey A. Williamson, P.M. Clarkson, William A. Sethares · 1993 · IEEE Transactions on Signal Processing
94. Parallel image segmentation using modified Hopfield model
    Chung‐Lin Huang · 1992 · Pattern Recognition Letters
95. LMS is H ∞ Optimal
    Babak Hassibi, Ali H. Sayed, T. Kailath · 1995 · The IMA volumes in mathematics and its applications
96. Constructive Function Approximation
    Paul E. Utgoff, Doina Precup · 1998 · Springer eBooks
97. Beneath the valley of the noncommutative arithmetic-geometric mean inequality: conjectures, case-studies, and consequences
    Benjamin Recht, Christopher Ré · 2012 · arXiv (Cornell University)
98. Two-channel variable-step-size forward-and-backward adaptive algorithms for acoustic noise reduction and speech enhancement
    Rédha Bendoumia, Mohamed Djendi · 2014 · Signal Processing
99. When silent letters say more than a thousand words: An implementation and evaluation of CDP++ in French
    Conrad Perry, Johannes Christoph Ziegler, Marco Zorzi · 2014 · Journal of Memory and Language
100. Deep Reinforcement Learning Autoencoder with Noisy Feedback
     Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis · 2019 · International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)