Výsledky vyhledávání - Backpropagation through time algorithms

Replay as a Basis for Backpropagation Through Time in the Brain.

Autoři: Cheng H Brown JW

Zdroj: Neural computation [Neural Comput] 2025 Feb 14; Vol. 37 (3), pp. 403-436.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: MIT Press Country of Publication: United States NLM ID: 9426182 Publication Model: Print Cited Medium: Internet ISSN: 1530-888X (Electronic) Linking ISSN: 08997667 NLM ISO Abbreviation: Neural Comput Subsets: MEDLINE

Výrazy ze slovníku MeSH: Neural Networks, Computer* , Brain*/physiology , Hippocampus*/physiology , Memory, Episodic* , Models, Neurological* , Learning*/physiology, Animals ; Computer Simulation ; Rats ; Algorithms ; Humans ; Time Factors

Implementation of Direct Feedback Alignment Through Time Algorithm in Training of Shallow Fully Memristive Spiking Neural Networks.

Autoři: Samardzic, Natasa M. Dautovic, Stanisa

Zdroj: International Journal of Circuit Theory & Applications. Sep2025, p1. 11p. 6 Illustrations.

Témata: *BACK propagation, *ARTIFICIAL neural networks, *MACHINE learning, *SCIENTIFIC method

A Minimal "Functionally Sentient" Organism Trained With Backpropagation Through Time.

Autoři: Pisheh Var, Mahrad Fairbank, Michael Samothrakis, Spyridon

Zdroj: Adaptive Behavior. Dec2023, Vol. 31 Issue 6, p531-544. 14p.

Backpropagation through time and the brain.

Autoři: Lillicrap TP Santoro A

Zdroj: Current opinion in neurobiology [Curr Opin Neurobiol] 2019 Apr; Vol. 55, pp. 82-89. Date of Electronic Publication: 2019 Mar 07.

Způsob vydávání: Journal Article; Review

Informace o časopise: Publisher: Current Biology Country of Publication: England NLM ID: 9111376 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6882 (Electronic) Linking ISSN: 09594388 NLM ISO Abbreviation: Curr Opin Neurobiol Subsets: MEDLINE

Výrazy ze slovníku MeSH: Algorithms* , Brain*, Machine Learning ; Memory ; Neural Networks, Computer

Backpropagation through time learning for recurrence-aware long-term cognitive networks.

Autoři: Nápoles, Gonzalo Jastrzebska, Agnieszka Grau, Isel a další

Zdroj: Knowledge-Based Systems. Jul2024, Vol. 295, pN.PAG-N.PAG. 1p.

Témata: *COGNITIVE maps (Psychology), *MACHINE performance, *ALGORITHMS, *CLASSIFICATION, *DECISION making

TDE-3: an improved prior for optical flow computation in spiking neural networks.

Autoři: Yedutenko, Matthew Paredes-Vallés, Federico Khacef, Lyes a další

Zdroj: Frontiers in Neuroscience; 2025, p1-26, 26p

Témata: OPTICAL flow, MOTION detectors, MOTION estimation (Signal processing), ALGORITHMS, ARTIFICIAL neural networks

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient

Autoři: Liang, Ling Hu, Xing Deng, Lei a další

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 34(5)

Témata: Information and Computing Sciences, Machine Learning, Neurosciences, Bioengineering, Spatiotemporal phenomena, Computational modeling, Perturbation methods, Biological neural networks, Backpropagation, Unsupervised learning, Training, Adversarial attack, backpropagation through time, neuromorphic computing, spike-compatible gradient, spiking neural networks

Přístupová URL adresa: https://escholarship.org/uc/item/66d4s4mj

Application of Artificial Intelligence Technologies in Livestock Management.

Alternate Title: Hayvancılıkta Yapay Zekâ Teknolojilerinin Uygulanması.

Autoři: DİLAVER, Hatice DİLAVER, Kamil Fatih

Zdroj: Journal of Animal Science & Economics. Jul2025, Vol. 4 Issue 2, p64-74. 11p.

Témata: Natural language processing, Artificial neural networks, Supervised learning, Artificial intelligence, Agriculture

Recurrent Neural Networks Trained With Backpropagation Through Time Algorithm to Estimate Nonlinear Load Harmonic Currents.

Autoři: Mazumdar, Joy Harley, Ronald G.

Zdroj: IEEE Transactions on Industrial Electronics. Sep2008, Vol. 55 Issue 9, p3484-3491. 8p. 2 Black and White Photographs, 6 Diagrams, 1 Chart, 8 Graphs.

Témata: *ELECTRIC currents, *ARTIFICIAL neural networks, *ELECTRICAL load, *ARTIFICIAL intelligence, *ALGORITHMS, *ELECTRIC potential, *CATHODE ray oscillographs, *SINE function, *BACK propagation

A new regularized and robust LSTM learning algorithm for industrial soft sensors.

Autoři: Zhao, Lei Guo, Junmei Sun, Kai

Zdroj: Journal of Intelligent & Fuzzy Systems. 2023, Vol. 45 Issue 1, p323-343. 21p.

Témata: *MACHINE learning, *SENSOR networks, *DETECTORS, *MANUFACTURING processes, *TIME series analysis

Training Bidirectional Recurrent Neural Network Architectures with the Scaled Conjugate Gradient Algorithm

Autoři: Agathocleous, Michalis Christodoulou, Chris C. Promponas, Vasilis J. a další

Přispěvatelé: Agathocleous, Michalis Christodoulou, Chris C. Promponas, Vasilis J. a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783319447773
25th International Conference on Artificial Neural Networks, ICANN 2016
Lect. Notes Comput. Sci.

Témata: 0301 basic medicine, Artificial intelligence, Ensemble methods, Bioinformatics, Backpropagation through time algorithms, Learning algorithms, Conjugate gradient method, Topology, 7. Clean energy, Filtering technique, 03 medical and health sciences, Scaled conjugate gradient algorithm, Trans-membrane proteins, Computational intelligence, Scaled conjugate gradient, 0303 health sciences, Backpropagation algorithms, Learning systems, Network architecture, Bidirectional recurrent neural networks, Proteins, Protein secondary structure prediction, Transmembrane protein topology prediction, Recurrent neural networks, Scaled conjugate gradients, Protein secondary-structure prediction, Neural networks, Forecasting

Přístupová URL adresa: https://link.springer.com/chapter/10.1007/978-3-319-44778-0_15/fulltext.html
https://dblp.uni-trier.de/db/conf/icann/icann2016-1.html#AgathocleousCPK16
https://rd.springer.com/chapter/10.1007%2F978-3-319-44778-0_15
https://link.springer.com/chapter/10.1007/978-3-319-44778-0_15
http://gnosis.library.ucy.ac.cy/handle/7/53500

G-CTRNN: A Trainable Low-Power Continuous-Time Neural Network for Human Activity Recognition in Healthcare Applications.

Autoři: Alzubi, Abdallah Lin, David Reimann, Johan a další

Zdroj: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7508, 14p

Témata: HUMAN activity recognition, REMOTE patient monitoring, COMPUTER engineering, TIME-varying networks, WEARABLE technology, MEDICAL technology, BACK propagation

FPGA-based Learning Acceleration for LSTM Neural Network.

Autoři: Dec, Grzegorz Rafał¹ gdecu2@gmail.com

Zdroj: Parallel Processing Letters. Mar/Jun2023, Vol. 33 Issue 1/2, p1-9. 9p.

Témata: *ALGORITHMS, PYTHON programming language, SPEED, GRAPHICS processing units

Forecasting the Currency Rate of The Indonesian Rupiah (IDR) against the US Dollar (USD) Using Time Series Data and Indonesian Fundamental Data.

Autoři: Moonlight, Lady Silk Harianto, Bambang Bagus Suprapto, Yuyun a další

Zdroj: International Journal on Advanced Science, Engineering & Information Technology; 2023, Vol. 13 Issue 2, p694-702, 9p

Témata: U.S. dollar, TIME series analysis, INTEREST rates, RECURRENT neural networks, MACHINE learning

Gradient-free training of recurrent neural networks using random perturbations.

Autoři: Fernández, Jesús García Keemink, Sander van Gerven, Marcel

Zdroj: Frontiers in Neuroscience; 2024, p1-13, 13p

Témata: ARTIFICIAL neural networks, RECURRENT neural networks, PROCESS capability, REINFORCEMENT (Psychology), SCALABILITY

A simplification of the backpropagation-through-time algorithm for optimal neurocontrol.

Autoři: Bersini H Gorrini V

Zdroj: IEEE transactions on neural networks [IEEE Trans Neural Netw] 1997; Vol. 8 (2), pp. 437-41.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101211035 Publication Model: Print Cited Medium: Print ISSN: 1045-9227 (Print) Linking ISSN: 10459227 NLM ISO Abbreviation: IEEE Trans Neural Netw Subsets: PubMed not MEDLINE

Forced Oscillation Detection via a Hybrid Network of a Spiking Recurrent Neural Network and LSTM.

Autoři: Yang, Xiaomei Wang, Jinfei Huang, Xingrui a další

Zdroj: Sensors (14248220); Apr2025, Vol. 25 Issue 8, p2607, 19p

Témata: ARTIFICIAL neural networks, LONG short-term memory, RECURRENT neural networks, OPTIMIZATION algorithms, DEEP learning

Forecasting the growth of Ambystoma mexicanum via artificial neural networks based on water quality parameters in intensive culture systems.

Autoři: Axel Vera-Cortes, Christian Juan Carbajal-Hernández, José Samantha Morales-Rodríguez, Úrsula a další

Zdroj: Journal of Animal Behavior & Biometeorology. Jul2025, Vol. 13 Issue 3, p1-18. 18p.

Témata: Artificial neural networks, Autoregressive models, Water quality, Transfer functions, Water temperature

Optoelectronic Systems Trained With Backpropagation Through Time.

Autoři: Hermans, Michiel Dambre, Joni Bienstman, Peter

Zdroj: IEEE Transactions on Neural Networks & Learning Systems. Jul2015, Vol. 26 Issue 7, p1545-1550. 6p.

Témata: *ALGORITHMS, *ARTIFICIAL neural networks, OPTOELECTRONICS, BACK propagation, PHONEMICS

Big Data Stream Learning Based on Hybridized Kalman Filter and Backpropagation Through Time Method

Autoři: He, Fan Xiong, Ning

Zdroj: 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD). :2886-2891

Témata: control system, real-time process modeling, deep learning, deep recurrent neural network, Backpropagation through time, Kalman filter

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-40289