Adaptive switching circuits

Cited by (1,003)

Items 201–300 of 1,003

1. Deep learning and radiomics in precision medicine
   Vishwa S. Parekh, Michael A. Jacobs · 2019 · Expert Review of Precision Medicine and Drug Development
2. A simple adaptive algorithm for real-time processing in antenna arrays
   L.J. Griffiths · 1969 · Proceedings of the IEEE
3. Computational Maps in the Visual Cortex
   Risto Miikkulainen, Joseph Sirosh, Yoonsuck Choe, James A. Bednar · 2005 · Springer eBooks
4. Climbing fibers encode a temporal-difference prediction error during cerebellar learning in mice
   Ohmae, Shogo, Medina, Javier F · 2015 · Nature Neuroscience
5. A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications
   Rahima Khanam, Muhammad Hussain, Richard Child Hill, Paul Allen · 2024 · IEEE Access
6. H/sup ∞/ optimality of the LMS algorithm
   Babak Hassibi, Ali H. Sayed, T. Kailath · 1996 · IEEE Transactions on Signal Processing
7. Evolutionary robots with on-line self-organization and behavioral fitness
   Dario Floreano, Joseba Urzelai · 2000 · Neural Networks
8. Modeling and Optimization for Big Data Analytics: (Statistical) learning tools for our era of data deluge
   Konstantinos Slavakis, Georgios B. Giannakis, Gonzalo Mateos · 2014 · IEEE Signal Processing Magazine
9. Soft computing: the convergence of emerging reasoning technologies
   Piero P. Bonissone · 1997 · Soft Computing
10. Artificial Neural Network Modelling: An Introduction
    Subana Shanmuganathan · 2016 · Studies in computational intelligence
11. Real-time application of neural networks for sensor-based control of robots with vision
    Wallace T. Miller · 1989 · IEEE Transactions on Systems Man and Cybernetics
12. VLSI implementations of threshold logic- a comprehensive survey
    Valeriu C. Beiu, José María Quintana, M.J. Avedillo · 2003 · IEEE Transactions on Neural Networks
13. Neural networks for system identification
    S. Reynold Chu, Rahmat A. Shoureshi, Manoel Fernando Tenorio · 1990 · IEEE Control Systems Magazine
14. An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters
    Weifeng Liu, Il Memming Park, J.C. Principe · 2009 · IEEE Transactions on Neural Networks
15. A Comparison of Discriminant Analysis versus Artificial Neural Networks
    Youngohc Yoon, George S. Swales, Thomas M. Margavio · 1993 · Journal of the Operational Research Society
16. Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys II. Complex spikes
    Kobayashi, Yasushi, Kawano, Kenji, Takemura, Aya, Inoue, Yuka, Kitama, Toshihiro, Gomi, Hiroaki, Kawato, Mitsuo · 1998 · Journal of Neurophysiology
17. Intrinsic Motivation and Reinforcement Learning
    Andrew G. Barto · 2012 · Springer eBooks
18. Stimulus configuration, classical conditioning, and hippocampal function.
    Néstor A. Schmajuk, James J. DiCarlo · 1992 · Psychological Review
19. Sensitivity of feedforward neural networks to weight errors
    Maryhelen Stevenson, R. Winter, Bernard Carlos Widrow · 1990 · IEEE Transactions on Neural Networks
20. Limited-precision effects in adaptive filtering
    J.M. Cioffi · 1987 · IEEE Transactions on Circuits and Systems
21. On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
    Saeed Iqbal, Adnan Nabeel Qureshi, Jianqiang Li, Tariq Mahmood · 2023 · Archives of Computational Methods in Engineering
22. Artificial neural networks for computer-based molecular design
    Gisbert Schneider, Paul Wrede · 1998 · Progress in Biophysics and Molecular Biology
23. Wind speed forecasting in the South Coast of Oaxaca, México
    Erasmo Cadenas, Wilfrido Rivera · 2006 · Renewable Energy
24. Continuous speech recognition
    N. Morgan, H. Bourlard · 1995 · IEEE Signal Processing Magazine
25. Higher order associative memories and their optical implementations
    Demetri Psaltis, Cheol Hoon Park, John Hong · 1988 · Neural Networks
26. Classifiers that approximate functions
    Stewart W. Wilson · 2002 · Natural Computing
27. Models of Semantic Memory
    Michael N. Jones, Jon A. Willits, Simon John Dennis · 2015 · Oxford University Press eBooks
28. River Water Quality Modelling Using Artificial Neural Network Technique
    Archana Sarkar, Prashant Pandey · 2015 · Aquatic Procedia
29. An information theoretic method for developing modular architectures using genetic algorithms
    Tian–Li Yu, Ali Yassine, David E. Goldberg · 2007 · Research in Engineering Design
30. The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning
    R. Harald Baayen, Yu‐Ying Chuang, Elnaz Shafaei-Bajestan, James P. Blevins · 2019 · Complexity
31. Advances in Artificial Neural Networks – Methodological Development and Application
    Yanbo Huang · 2009 · Algorithms
32. Competition among causes but not effects in predictive and diagnostic learning.
    Michael R. Waldmann · 2000 · Journal of Experimental Psychology Learning Memory and Cognition
33. Adaptive Equalization of Highly Dispersive Channels for Data Transmission
    A. Gersho · 1969 · Bell System Technical Journal
34. Stochastic Learning
    Léon Bottou · 2004 · Lecture notes in computer science
35. Equilibria of the Rescorla–Wagner model
    David J. Danks · 2003 · Journal of Mathematical Psychology
36. Competitive learning and soft competition for vector quantizer design
    E. Yair, K. Zeger, A. Gersho · 1992 · IEEE Transactions on Signal Processing
37. Biped dynamic walking using reinforcement learning
    Hamid Benbrahim, Judy A. Franklin · 1997 · Robotics and Autonomous Systems
38. Pattern recognition and machine learning
    Norman Abramson, David Braverman, George Sebestyen · 1963 · IEEE Transactions on Information Theory
39. Machine learning algorithms to predict flow condensation heat transfer coefficient in mini/micro-channel utilizing universal data
    Liwei Zhou, Deepak Garg, Yue Qiu, Sung‐Min Kim, Issam Mudawar, Chirag R. Kharangate · 2020 · International Journal of Heat and Mass Transfer
40. NORMAL AND IMPAIRED SPELLING IN A CONNECTIONIST DUAL-ROUTE ARCHITECTURE
    George Houghton, Marco Zorzi · 2003 · Cognitive Neuropsychology
41. Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis
    Wu, Yunyi, Wang, Guanyu · 2018 · International Journal of Molecular Sciences
42. A neural network for classifying the financial health of a firm
    Robert C. Lacher, Pamela K. Coats, Shanker C. Sharma, L. Franklin Fant · 1995 · European Journal of Operational Research
43. Discrimination of EMG Signals Using a Neuromorphic Implementation of a Spiking Neural Network
    Elisa Donati, Melika Payvand, Nicoletta Risi, Renate Krause, Giacomo Indiveri · 2019 · IEEE Transactions on Biomedical Circuits and Systems
44. Intelligent Microfluidics: The Convergence of Machine Learning and Microfluidics in Materials Science and Biomedicine
    Edgar A. Galan, Haoran Zhao, Xukang Wang, Qionghai Dai, Wilhelm T. S. Huck, Shaohua Ma · 2020 · Matter
45. Multilayer optical learning networks
    Kelvin H. Wagner, Demetri Psaltis · 1987 · Applied Optics
46. Artificial neural networks applied to arc welding process modeling and control
    Kristinn Andersen, Gerald Cook, Gábor Karsai, K. Ramaswamy · 1990 · IEEE Transactions on Industry Applications
47. Constrained transformer network for ECG signal processing and arrhythmia classification
    Chao Che, Peiliang Zhang, Min Zhu, Yue Qu, Bo Jin · 2021 · BMC Medical Informatics and Decision Making
48. Implementation of self-organizing neural networks for visuo-motor control of an industrial robot
    J. Walter, Klaus Schulten · 1993 · IEEE Transactions on Neural Networks
49. Essentialism and selectionism in cognitive science and behavior analysis.
    David C. Palmer, John W. Donahoe · 1992 · American Psychologist
50. Artificial neural networks in chemometrics: History, examples and perspectives
    Federico Marini, Remo Bucci, Antonio L. Magrì, Andrea Magrì · 2007 · Microchemical Journal
51. Neural Networks and Artificial Intelligence for Biomedical Engineering
    Donna L. Hudson, Maurice E. Cohen · 1999 · Institute of Electrical and Electronics Engineers eBooks
52. Interference rejection in digital wireless communications
    J. Laster, Jeffrey H. Reed · 1997 · IEEE Signal Processing Magazine
53. Pattern Recognition and Neural Networks
    Sergios Theodoridis, Konstantinos Koutroumbas · 2001 · Lecture notes in computer science
54. Cerebral cortex : principles of operation
    Edmund T. Rolls · 2016
55. Discrimination in lexical decision
    Petar Milin, Laurie Beth Feldman, Michael Ramscar, Peter Hendrix, R. Harald Baayen · 2017 · PLoS ONE
56. Convergence analysis of self-adaptive equalizers
    Odile Macchi, E. Eweda · 1984 · IEEE Transactions on Information Theory
57. Adaptive and Self-Confident On-Line Learning Algorithms
    Peter L. Auer, Nicolò Cesa-Bianchi, Claudio Gentile · 2002 · Journal of Computer and System Sciences
58. The application of nonlinear structures to the reconstruction of binary signals
    Gavin J. Gibson, S. Siu, Colin F. N. Cowan · 1991 · IEEE Transactions on Signal Processing
59. A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition
    Yong Zhang, Peng Li, Yingyezhe Jin, Yoonsuck Choe · 2015 · IEEE Transactions on Neural Networks and Learning Systems
60. Learning and Evolution
    Stefano Nolfi, Dario Floreano · 1999 · Autonomous Robots
61. Comparative analysis of failure prediction methods: the Finnish case
    Teija Laitinen, Maria Kankaanpaa · 1999 · European Accounting Review
62. What connectionist models learn: Learning and representation in connectionist networks
    Stephen José Hanson, David J. Burr · 1990 · Behavioral and Brain Sciences
63. Learning and memory
    Daniel L. Alkon, David G. Amaral, Mark F. Bear, Joel Black, Thomas James Carew, Neal J. Cohen, John F. Disterhoft, Howard Eichenbaum, Stephanie Golski, Linda K. Gorman et al. · 1991 · Brain Research Reviews
64. Deep Convolution Neural Networks in Computer Vision: a Review
    Hyeon-Joong Yoo · 2015 · IEIE Transactions on Smart Processing and Computing
65. Stock price prediction using neural networks: A project report
    Eberhard Schöneburg · 1990 · Neurocomputing
66. Invariant Visual Object and Face Recognition: Neural and Computational Bases, and a Model, VisNet
    Edmund T. Rolls · 2012 · Frontiers in Computational Neuroscience
67. Adaptive noise canceling for speech signals
    M. R. Sambur · 1978 · IEEE Transactions on Acoustics Speech and Signal Processing
68. Two routes or one in reading aloud? A connectionist dual-process model.
    Zorzi, Marco, Houghton, George, Butterworth, Brian · 1998 · Journal of Experimental Psychology: Human Perception and Performance
69. Transform-domain adaptive filters: an analytical approach
    Françoise Beaufays · 1995 · IEEE Transactions on Signal Processing
70. Neural Networks in Clinical Medicine
    W.D. Penny, David Frost · 1996 · Medical Decision Making
71. The No-Prop algorithm: A new learning algorithm for multilayer neural networks
    Bernard Carlos Widrow, Aaron B. Greenblatt, Youngsik Kim, Dookun Park · 2012 · Neural Networks
72. Performance Analysis of $l_0$ Norm Constraint Least Mean Square Algorithm
    Guolong Su, Jian Jin, Yuantao Gu, Jian Wang · 2012 · IEEE Transactions on Signal Processing
73. Improving forecasts of GARCH family models with the artificial neural networks: An application to the daily returns in Istanbul Stock Exchange
    Melike Elif Bildirici, Özgür Ömer Ersin · 2008 · Expert Systems with Applications
74. On the statistical efficiency of the LMS algorithm with nonstationary inputs
    Bernard Carlos Widrow, Eugene Walach · 1984 · IEEE Transactions on Information Theory
75. A Unifying Probabilistic View of Associative Learning
    Samuel Joseph Gershman · 2015 · PLoS Computational Biology
76. Performance advantage of complex LMS for controlling narrow-band adaptive arrays
    Larry L. Horowitz, Kenneth D. Senne · 1981 · IEEE Transactions on Acoustics Speech and Signal Processing
77. Adaptive maximum-likelihood sequence estimation for digital signaling in the presence of intersymbol interference (Corresp.)
    Francis R. Magee Jr., John G. Proakis · 1973 · IEEE Transactions on Information Theory
78. Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
    Ivan Lorencin, Nikola Anđelić, Josip Španjol, Zlatan Car · 2019 · Artificial Intelligence in Medicine
79. Conditions for versatile learning, Helmholtz's unconscious inference, and the task of perception
    Horace Basil Barlow · 1990 · Vision Research
80. Using artificial neural networks for solving chemical problems
    J.R.M. Smits, Willem J. Melssen, L.M.C. Buydens, Gerrit Kateman · 1994 · Chemometrics and Intelligent Laboratory Systems
81. A comprehensive survey on functional link neural networks and an adaptive PSO–BP learning for CFLNN
    Satchidananda Dehuri, Sung‐Bae Cho · 2009 · Neural Computing and Applications
82. Learning pattern classification-a survey
    Sanjeev R. Kulkarni, Gábor Lugosi, Santosh S. Venkatesh · 1998 · IEEE Transactions on Information Theory
83. Gangliosides as diagnostic markers of human astrocytomas and primitive neuroectodermal tumors
    Ching‐Ching Sung, Dennis K. Pearl, Stephen William Coons, Bernd Walter Scheithauer, Peter C. Johnson, Allan James Yates · 1994 · Cancer
84. Computational models of sensorimotor integration
    Zoubin Ghahramani A, Daniel M. Wolpert, Michael I. Jordan · 1997 · Advances in psychology
85. Pattern Classification by Iteratively Determined Linear and Piecewise Linear Discriminant Functions
    Richard O. Duda, H. Fossum · 1966 · IEEE Transactions on Electronic Computers
86. Scoring Functions for Protein-Ligand Binding Affinity Prediction Using Structure-based Deep Learning: A Review
    Rocco Meli, Garrett M. Morris, Philip Charles Biggin · 2022 · Frontiers in Bioinformatics
87. Multiple brain-memory systems: the whole does not equal the sum of its parts
    Jeansok John Kim, Mark G. Baxter · 2001 · Trends in Neurosciences
88. Neural networks expand SP's horizons
    S. Haykin · 1996 · IEEE Signal Processing Magazine
89. Gossip learning with linear models on fully distributed data
    Róbert Ormándi, István Hegedűs, Márk Jelasity · 2012 · Concurrency and Computation Practice and Experience
90. Strategic bidding in continuous double auctions
    Perukrishnen Vytelingum, Dave Cliff, Nicholas R. Jennings · 2008 · Artificial Intelligence
91. Guided Learning for Bidirectional Sequence Classification
    Libin Shen, Giorgio Satta, Aravind K. Joshi · 2007
92. Neural methods for dynamic branch prediction
    Daniel A. Jiménez, Calvin Lin · 2002 · ACM Transactions on Computer Systems
93. Artificial neural networks in manufacturing: concepts, applications, and perspectives
    Shih-Yuang Huang, Hongchao Zhang · 1994 · IEEE Transactions on Components Packaging and Manufacturing Technology Part A
94. Performance of Neural Networks in Daily Streamflow Forecasting
    Salvator Birikundavyi, Richard Labib, Hieu Thai Trung, Jean Rousselle · 2002 · Journal of Hydrologic Engineering
95. Rotation-invariant neural pattern recognition system with application to coin recognition
    Minoru Fukumi, Sigeru Omatu, Fumiaki Takeda, T. Kosaka · 1992 · IEEE Transactions on Neural Networks
96. The Truck Backer-Upper: An Example of Self-Learning in Neural Networks
    Derrick Nguyen, Bernard Carlos Widrow · 1990 · Elsevier eBooks
97. Temporal Sequence Learning, Prediction, and Control: A Review of Different Models and Their Relation to Biological Mechanisms
    Wörgötter, Florentin, Porr, Bernd · 2005 · Neural Computation
98. Connectionist and Memory‐Array Models of Artificial Grammar Learning
    Zoltan Paul Dienes · 1992 · Cognitive Science
99. Prediction error, ketamine and psychosis: An updated model
    Corlett, Philip R, Honey, Garry D, Fletcher, Paul C · 2016 · Journal of Psychopharmacology
100. Kohonen's self-organizing maps: exploring their computational capabilities
     A. Ritter, Schulten · 1988 · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks