ADAPTIVE SWITCHING CIRCUITS

Cited by (1,005)

Items 901–1,000 of 1,005

1. Pruning recurrent neural networks replicates adolescent changes in working memory and reinforcement learning
   Bruno B. Averbeck · 2022 · Proceedings of the National Academy of Sciences
2. Low‐cycle fatigue parameters and fatigue life estimation of high‐strength steels with artificial neural networks
   Mehmet Alperen Soyer, Can B. Kalaycı, Özler Karakaş · 2022 · Fatigue & Fracture of Engineering Materials & Structures
3. Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems
   Massimiliano Giulioni, Federico Corradi, Vittorio Dante, Paolo Del Giudice · 2015 · Scientific Reports
4. Artificial neural networks and possible applications to desalination
   M.E. El-Hawary · 1993 · Desalination
5. Some neural networks compute, others don’t
   Gualtiero Piccinini · 2007 · Neural Networks
6. Enhancement of Residual Echo for Robust Acoustic Echo Cancellation
   Ted S. Wada, Biing Hwang Juang · 2011 · IEEE Transactions on Audio Speech and Language Processing
7. XCSF with computed continuous action
   Hau Trung Tran, Cédric Sanza, Yves Duthen, Thuc Dinh Nguyen · 2007 · Genetic and Evolutionary Computation Conference (GECCO)
8. Risk-Aware Control
   Terence D. Sanger · 2014 · Neural Computation
9. Using Neural Network for Springback Minimization in a Channel Forming Process
   Robert T. Ruffini, Jian Cao · 1998 · SAE technical papers on CD-ROM/SAE technical paper series
10. Fundamentals of Neural Networks
    Mohammad Teshnehlab, Keigo Watanabe · 1999 · Springer eBooks
11. Confidence-based integrated reweighting model of task-difficulty explains location-based specificity in perceptual learning
    Bharath Chandra Talluri, Shao-Chin Hung, Aaron R. Seitz, Peggy Seriès · 2015 · Journal of Vision
12. Optimization of condition-based maintenance using soft computing
    Deepam Goyal, B. Singh Pabla, S. S. Dhami, Kailash Lachhwani · 2016 · Neural Computing and Applications
13. Failure rate prediction with artificial neural networks
    Maurizio Bevilacqua, Marcello Braglia, Marco Frosolini, Roberto Montanari · 2005 · Journal of Quality in Maintenance Engineering
14. Artificial neural networks for early detection and diagnosis of cancer
    Steven K. Rogers, Dennis W. Ruck, Matthew Kabrisky · 1994 · Cancer Letters
15. Supporting Real-Time Cognitive State Classification on a Mobile Individual
    Michael C. Dorneich, Stephen D. Whitlow, Santosh A. Mathan, Patricia May Ververs, Deniz Erdogmus B, André Adami, Misha Pavel C, Tian Lan · 2007 · Journal of Cognitive Engineering and Decision Making
16. The new wave in robot learning
    NOEL E. SHARKEY · 1997 · Robotics and Autonomous Systems
17. Query relaxation for xml model
    Dongwon Lee · 2002
18. Dynamical neural network organization of the visual pursuit system
    Don Curtis Deno, E.L. Keller, William F. Crandall · 1989 · IEEE Transactions on Biomedical Engineering
19. A Neural Network Model of Lateralization during Letter Identification
    Natalia A. Shevtsova, James A. Reggia · 1999 · Journal of Cognitive Neuroscience
20. Decision tree performance enhancement using an artificial neural network implementation
    Ishwar K. Sethi · 1991 · Machine intelligence and pattern recognition
21. Theory: Foundations of Artificial Neural Networks
    Massimo Buscema · 1998 · Substance Use & Misuse
22. What the 2007 TAC Market Design Game tells us about effective auction mechanisms
    Jinzhong Niu, Kai Cai, Simon Parsons, Peter McBurney, Enrico Gerding · 2009 · Autonomous Agents and Multi-Agent Systems
23. Perceptron learning rule derived from spike-frequency adaptation and spike-time-dependent plasticity
    Prashanth D’Souza, Shih‐Chii Liu, Richard H. R. Hahnloser · 2010 · Proceedings of the National Academy of Sciences
24. Artificial neural networks approach to predicting rut depth of asphalt concrete by using of visco-elastic parameters
    Neda Kamboozia, Hassan Ziari, Hamid Behbahani · 2017 · Construction and Building Materials
25. Conceptualizing syntactic categories as semantic categories: Unifying part-of-speech identification and semantics using co-occurrence vector averaging
    Chris F. Westbury, Geoff Hollis · 2018 · Behavior Research Methods
26. A Unified Approach to the Statistical Convergence Analysis of Frequency-Domain Adaptive Filters
    Feiran Yang, Gerald Enzner, Jun Jie Yang · 2019 · IEEE Transactions on Signal Processing
27. A family of online boosting algorithms
    Boris Babenko, Ming–Hsuan Yang, Serge Belongie · 2009 · IEEE International Conference on Computer Vision Workshops
28. Why trace and delay conditioning are sometimes (but not always) hippocampal dependent: A computational model
    Ahmed A. Moustafa, Ella Wufong, Richard J. Servatius, Kevin C. H. Pang, Mark A. Gluck, Catherine E. Myers · 2012 · Brain Research
29. Optimal Properties of Analog Perceptrons with Excitatory Weights
    Claudia Clopath, Nicolas Brunel · 2013 · PLoS Computational Biology
30. Imitation as a communication tool for online facial expression learning and recognition
    Sofiane Boucenna, Philippe Gaussier, Pierre Andry, L. Hafemeister · 2010 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
31. A model of attentional impairments in autism: first steps toward a computational theory
    Petra Björne, Christian Balkenius · 2004 · Cognitive Systems Research
32. Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior
    Todd Matthew Gureckis, Bradley C. Love · 2010 · Cognitive Science
33. Fundamentals of Neural Networks
    Ali Zilouchian · 2001 · CRC Press eBooks
34. DESIGN OF NEURAL NETWORK FILTERS
    Jan Otto Larsen · 1996
35. Modelling suspended sediment transport using an integrated numerical and ANNs model
    Binliang Lin, Masoud Montazeri Namin · 2005 · Journal of Hydraulic Research
36. Reducing price fluctuation in continuous double auctions through pricing policy and shout improvement
    Jinzhong Niu, Kai Cai, Simon Parsons, Elizabeth I Sklar · 2006 · Adaptive Agents and Multi-Agents Systems
37. Dynamic programming for optimal control of setup scheduling with neural network modifications
    Gary R. Bradski · 2003 · International Joint Conference on Neural Networks (IJCNN)
38. Estimation of single sweep steady-state visual evoked potentials by adaptive line enhancement
    Carlos E. Davila, A. Abaye, Alireza R. Khotanzad · 1994 · IEEE Transactions on Biomedical Engineering
39. Adaptive neural networks and their applications
    Bernard Carlos Widrow, Michael A. Lehr · 1993 · International Journal of Intelligent Systems
40. Analysis of stochastic gradient algorithms for linear regression problems
    Lennart Ljung A · 1984 · IEEE Transactions on Information Theory
41. A neural network model of a contact plasma etch process for VLSI production
    Edward A. Rietman · 1996 · IEEE Transactions on Semiconductor Manufacturing
42. Analysis and verification of an analog VLSI incremental outer-product learning system
    Gert Cauwenberghs, Charles F. Neugebauer, Avigail Yariv · 1992 · IEEE Transactions on Neural Networks
43. A convergence theorem for Grossberg learning
    David M. Clark, K. Ravishankar · 1990 · Neural Networks
44. Parallel algorithms/architectures for neural networks
    Jenq–Neng Hwang, Sun‐Yuan Kung · 1989 · The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology
45. Neural network applications in the geosciences: An introduction
    Brian G. Lees · 1996 · Computers & Geosciences
46. Delusions and Prediction Error
    Philip Robert Corlett · 2018 · Springer eBooks
47. Forecasting Crude Oil Price Using Artificial Neural Networks: A Literature Survey
    Manel Hamdi, Chaker Aloui · 2015 · RePEc: Research Papers in Economics
48. Pricing the Cloud
    Ian A. Kash, Peter B. Key · 2016 · IEEE Internet Computing
49. Chaining Zscore and feature scaling methods to improve neural networks for classification
    Calpephore Nkikabahizi, Wilson Kipchirchir Cheruiyot, Ann Kibe · 2022 · Applied Soft Computing
50. Implementing Neural Models in Silicon
    Leslie S. Smith · 2006 · Kluwer Academic Publishers eBooks
51. Self-adaptive erbium-doped fiber amplifiers using machine learning
    Erick de A. Barboza, Carmelo J. A. Bastos-Filho, Joaquim F. Martins-Filho, Uiara Celine de Moura, Juliano R. F. Oliveira · 2013 · SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC)
52. Application of artificial neural network model for the development of optimized complex medium for phenol degradation using Pseudomonas pictorum (NICM 2074)
    Gurusamy Annadurai, Jiunn‐Fwu Lee · 2007 · Biodegradation
53. A New Variable Step Size LMS Adaptive Filtering Algorithm
    QU Yan-bin, Meng Fangang, Gao Lei · 2007 · IEEE International Symposium on Industrial Electronics (ISIE)
54. Posture Detection Using Sounds and Temperature: LMS-Based Approach to Enable Sensory Substitution
    Luke Russell, Rafik A Goubran, Felix Kwamena · 2018 · IEEE Transactions on Instrumentation and Measurement
55. Linear Classifiers
    Sergios Theodoridis, Konstantinos Koutroumbas · 2009 · Elsevier eBooks
56. Hybrid Computational Intelligence Schemes in Complex Domains: An Extended Review
    Athanasios Tsakonas, George D. Dounias · 2002 · Lecture notes in computer science
57. XCS with Computed Prediction in Continuous Multistep Environments
    Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg · 2005 · IEEE Congress on Evolutionary Computation (CEC)
58. A connectionist model of septohippocampal dynamics during conditioning: Closing the loop.
    Bas Rokers, Eduardo Mercado, Todd Allen, Catherine E. Myers, Mark A. Gluck · 2002 · Behavioral Neuroscience
59. High Performance Recording Algorithm For Hopfield Model Associative Memories
    Mohamad H. Hassoun, Amr Youssef · 1989 · Optical Engineering
60. Evolutionary Radial Basis Functions for Credit Assessment
    Estefane Lacerda, Andr� C. P. L. F. Carvalho, Antônio P. Braga, Teresa B. Ludermir · 2005 · Applied Intelligence
61. How training and testing histories affect generalization: a test of simple neural networks
    Stefano Ghirlanda, Magnus Enquist · 2007 · Philosophical Transactions of the Royal Society B Biological Sciences
62. Reinforcement Learning for Planning and Control
    Thomas Dean, Kenneth Basye, John P. Shewchuk · 1993 · Elsevier eBooks
63. LMS is H/sup ∞/ optimal
    Babak Hassibi, Ali H. Sayed, T. Kailath · 2002 · IEEE Conference on Decision and Control (CDC)
64. Effects of Adaptation Parameters on Convergence Time and Tolerance for Adaptive Threshold Elements
    C. Hugh Mays · 1964 · IEEE Transactions on Electronic Computers
65. Forecasting Austrian IPOs: An application of linear and neural network error-correction models
    Christian Haefke, Christian Helmenstein · 1996 · Journal of Forecasting
66. The learning behavior of single neuron classifiers on linearly separable or nonseparable input
    Mitra Basu, Tin Kam Ho · 2003 · International Joint Conference on Neural Networks (IJCNN)
67. Hierarchical neural net for learning control of a robot's arm and gripper
    Thomas Martinetz, Klaus J. Schulten · 1990 · International Joint Conference on Neural Networks (IJCNN)
68. On-line learning of linear functions
    Nicholas Littlestone, Manfred K. Warmuth, Philip M. Long · 1995 · Computational Complexity
69. Complex‐Valued Adaptive Signal Processing
    Tülay Adalı, Hualiang Li · 2010
70. Uninflectedness
    Andrew J. Spencer · 2020 · Cambridge University Press eBooks
71. Multi-classifier based on Elliott wave’s recognition
    Eva Volná, Martin Kotyrba, Robert Jarušek · 2013 · Computers & Mathematics with Applications
72. Learning the unlearnable
    Andreas Wendemuth · 1995 · Journal of Physics A Mathematical and General
73. Towards Automatic Musical Instrument Timbre Recognition
    Paul Lansky, Perry R. Cook, Tae Hong Park · 2010
74. A Novel Hybrid Error Criterion-Based Active Control Method for on-Line Milling Vibration Suppression with Piezoelectric Actuators and Sensors
    Xingwu Zhang, Chenxi Wang, Robert X. Gao, Ruqiang Yan, Xuefeng Chen, Shibin Wang · 2016 · Sensors
75. A Control Theoretic Model of Adaptive Learning in Dynamic Environments
    Harrison Ritz, Matthew R. Nassar, Michael J. Frank, Amitai Shenhav · 2018 · Journal of Cognitive Neuroscience
76. Artificial Neural Networks for Estimating Soil Water Retention Curve Using Fitted and Measured Data
    Tirzah Moreira de Melo, Olavo Corrêa Pedrollo · 2015 · Applied and Environmental Soil Science
77. A delta-rule model of numerical and non-numerical order processing.
    Tom Verguts, Filip Van Opstal A · 2014 · Journal of Experimental Psychology Human Perception & Performance
78. Objective measure of upper extremity motor impairment in Parkinson's disease with inertial sensors
    J. D. Hoffman, James McNames · 2011 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
79. On properties of the widely linear MSE filter and its LMS implementation
    Tülay Adalı, Hualiang Li, Ronald Aloysius · 2009 · Conference on Information Sciences and Systems
80. Adaptive Signal Processing for Adaptive Control
    Bernard Carlos Widrow, Eugene Walach · 1983 · IFAC Proceedings Volumes
81. Application of natural computation inspired method in community detection
    Weitong Zhang, Rui Zhang, Ronghua Shang, Juanfei Li, Licheng Jiao · 2018 · Physica A Statistical Mechanics and its Applications
82. Machine Learning Techniques in Plant Biology
    Khwaja Osama, Bhartendu Nath Mishra, Pallavi Somvanshi · 2015 · Springer eBooks
83. Wind ambiguity removal by the use of neural network techniques
    Fouad Badran, Sylvie Thiria, Michel Crépon · 1991 · Journal of Geophysical Research Atmospheres
84. Comparing classification accuracy of neural networks, binary logit regression and discriminant analysis for insolvency prediction of life insurers
    Ernest Goss, Harish Ramchandani · 1995 · Journal of Economics and Finance
85. Use of methodological diversity to improve neural network generalisation
    William B. Yates, D. Partridge · 1996 · Neural Computing and Applications
86. Robust low-delay audio coding using multiple descriptions
    Gerald Schuller, Jelena Kovačević, Favio R. Masson, Vivek K Goyal · 2005 · IEEE Transactions on Speech and Audio Processing
87. Active control of pressure pulsation in a switched inertance hydraulic system
    Min Pan, Nigel Johnston, Andrew J. Hillis · 2013 · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
88. Analysis of the partitioned frequency-domain block LMS (PFBLMS) algorithm
    Kheong Sann Chan, Behrouz Farhang‐Boroujeny · 2001 · IEEE Transactions on Signal Processing
89. Predictive vector quantization using a neural network approach
    Nader Mohsenian, Syed A. Rizvi, Nasser M. Nasrabadi · 1993 · Optical Engineering
90. Planning with Neural Networks and Reinforcement Learning
    Gianluca Baldassarre · 2003
91. Artificial Neural Networks and Their use in Chemistry
    Keith L. Peterson · 2000 · Reviews in computational chemistry
92. Optical learning (inference) machines
    George Eichmann, H. John Caulfield · 1985 · Applied Optics
93. Efficient Dictionary-Refining Kernel Adaptive Filter With Fundamental Insights
    Masa-aki Takizawa, Masahiro Yukawa · 2016 · IEEE Transactions on Signal Processing
94. Critical review of electrocardiography measurement systems and technology
    Anubha Manju Kalra, Andrew Lowe, Ahmed M. Al‐Jumaily · 2018 · Measurement Science and Technology
95. Reservoir computing model of prefrontal cortex creates novel combinations of previous navigation sequences from hippocampal place-cell replay with spatial reward propagation
    Nicolas Cazin, Martin Llofriu Alonso, Pablo Scleidorovich, Tatiana Pelc, Bruce C. Harland, Alfredo Weitzenfeld, Jean‐Marc Fellous, Peter Ford Dominey · 2019 · PLoS Computational Biology
96. Modeling Morphology With Linear Discriminative Learning: Considerations and Design Choices
    Maria Heitmeier, Yu‐Ying Chuang, R. Harald Baayen · 2021 · Frontiers in Psychology
97. Spiking neural predictive coding for continually learning from data streams
    Alexander G. Ororbia · 2023 · Neurocomputing
98. The role of cue information in the outcome-density effect: evidence from neural network simulations and a causal learning experiment
    Serban C. Musca, Miguel Angel Vadillo, Fernando Blanco, Helena Matute · 2010 · Connection Science
99. Circumventing the Price of Anarchy: Leading Dynamics to Good Behavior
    Maria-Florina Balcan, Avrim L. Blum, Yishay Mansour · 2013 · SIAM Journal on Computing
100. Secure Adaptive Filtering
     Juan Ramón Troncoso-Pastoriza, Fernando Pérez‐González · 2011 · IEEE Transactions on Information Forensics and Security