Výsledky vyhľadávania - "Backpropagation through time algorithms"

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

Autori: Agathocleous, Michalis Christodoulou, Chris C. Promponas, Vasilis J. a ďalší

Prispievatelia: Agathocleous, Michalis Christodoulou, Chris C. Promponas, Vasilis J. a ďalší

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

Predmety: 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

Prístupová 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

A comparative study of basic backpropagation and backpropagation through time algorithms

Autori: Tang, K. Wendy Chen, Hung-Jung

Popis súboru: 732579 bytes; application/pdf

Relation: http://hdl.handle.net/1951/37326

Dostupnosť: http://hdl.handle.net/1951/37326

Active Stabilization of Line-Regulating Converters with Constant Power Loads

Autori: Mueller, Jacob A. Wunsch, Donald C. Kimball, Jonathan W.

Zdroj: Electrical and Computer Engineering Faculty Research & Creative Works

Predmety: Backpropagation Algorithms, Dynamic Programming, Numerical Methods, Power Converters, Runge Kutta Methods, Back-Propagation Through Time, Backpropagation Through Time Algorithms, Controller Performance, Distribution Systems, Micro Grid, Non-Ideal Conditions, Numerical Integrations, Value-Gradient Learning, Backpropagation, DC Microgrids, Electrical and Computer Engineering

Relation: https://scholarsmine.mst.edu/ele_comeng_facwork/2930; https://doi.org/10.1109/NAPS.2017.8107237

Dostupnosť: https://scholarsmine.mst.edu/ele_comeng_facwork/2930
https://doi.org/10.1109/NAPS.2017.8107237

Certified Neural Network Control Architectures: Methodological Advances in Stability, Robustness, and Cross-Domain Applications.

Autori: Liu, Rui Huang, Jianhua Lu, Biao a ďalší

Zdroj: Mathematics (2227-7390); May2025, Vol. 13 Issue 10, p1677, 44p

Predmety: AUTOMATIC control systems, NONLINEAR dynamical systems, INTELLIGENT control systems, STABILITY theory, LYAPUNOV stability

Motion image feature extraction through voltage modulated memory dynamics in an IGZO thin-film transistor.

Autori: Chen, Yu-Chieh Lin, Jyu-Teng Chen, Kuan-Ting a ďalší

Zdroj: Nanoscale Horizons; May2025, Vol. 10 Issue 5, p966-975, 10p

Early warning of systemic risk in stock market based on EEMD-LSTM.

Autori: Ran, Meng Tang, Zhenpeng Chen, Yuhang a ďalší

Zdroj: PLoS ONE; 5/21/2024, Vol. 19 Issue 5, p1-21, 21p

Predmety: SYSTEMIC risk (Finance), STOCKS (Finance), HILBERT-Huang transform, RISK perception, FINANCIAL risk, INVESTORS

Geografický termín: CHINA

Artificial neural network models for fault detection and isolation of industrial processes

Autori: Józef Korbicz Andrzej Janczak

Zdroj: Computer Assisted Methods in Engineering and Science, Vol 9, Iss 1 (2023)

Predmety: fault detection and isolation, neural network models, parametric models, evaporation stations, Computer engineering. Computer hardware, TK7885-7895, Mechanics of engineering. Applied mechanics, TA349-359

Popis súboru: electronic resource

Relation: https://cames.ippt.pan.pl/index.php/cames/article/view/1140; https://doaj.org/toc/2299-3649; https://doaj.org/toc/2956-5839

Prístupová URL adresa: https://doaj.org/article/1048ae10b4da454d8c3b4f8e8c06f0f8

A Multitasking Flexible Sensor via Reservoir Computing.

Autori: Wakabayashi, Seiji Arie, Takayuki Akita, Seiji a ďalší

Zdroj: Advanced Materials; 7/1/2022, Vol. 34 Issue 26, p1-11, 11p

Rekurentní neuronové sítě v počítačovém vidění

Autori: Španěl, Michal Řezníček, Ivo Křepský, Jan

Témy: neuron, vícevrstvý perceptron, backpropagation, rekurentní neuronové sítě, Elmanova síť, backpropagation through time, rozpoznávání obličejů, eigenfaces, počítačové vidění, umělá inteligence, multilayer perceptron, recurrent neural networks, Elman network, face recognition, computer vision, artificial intelligence, Text

URL: http://hdl.handle.net/11012/54172

Rekurentní neuronové sítě v počítačovém vidění

Autori: Španěl, Michal Řezníček, Ivo Křepský, Jan

Témy: neuron, vícevrstvý perceptron, backpropagation, rekurentní neuronové sítě, Elmanova síť, backpropagation through time, rozpoznávání obličejů, eigenfaces, počítačové vidění, umělá inteligence, multilayer perceptron, recurrent neural networks, Elman network, face recognition, computer vision, artificial intelligence, Text

URL: http://hdl.handle.net/11012/54172

Rekurentní neuronové sítě v počítačovém vidění

Autori: Španěl, Michal Řezníček, Ivo Křepský, Jan

Témy: neuron, vícevrstvý perceptron, backpropagation, rekurentní neuronové sítě, Elmanova síť, backpropagation through time, rozpoznávání obličejů, eigenfaces, počítačové vidění, umělá inteligence, multilayer perceptron, recurrent neural networks, Elman network, face recognition, computer vision, artificial intelligence, Text

URL: http://hdl.handle.net/11012/54172

Rekurentní neuronové sítě v počítačovém vidění

Autori: Španěl, Michal Řezníček, Ivo

Témy: neuron, vícevrstvý perceptron, backpropagation, rekurentní neuronové sítě, Elmanova síť, backpropagation through time, rozpoznávání obličejů, eigenfaces, počítačové vidění, umělá inteligence, multilayer perceptron, recurrent neural networks, Elman network, face recognition, computer vision, artificial intelligence, Text

URL: http://hdl.handle.net/11012/54172

Rekurentní neuronové sítě v počítačovém vidění

Autori: Španěl, Michal Řezníček, Ivo

Témy: neuron, vícevrstvý perceptron, backpropagation, rekurentní neuronové sítě, Elmanova síť, backpropagation through time, rozpoznávání obličejů, eigenfaces, počítačové vidění, umělá inteligence, multilayer perceptron, recurrent neural networks, Elman network, face recognition, computer vision, artificial intelligence, Text

URL: http://hdl.handle.net/11012/54172

Rekurentní neuronové sítě v počítačovém vidění

Autori: Španěl, Michal Řezníček, Ivo

Témy: neuron, vícevrstvý perceptron, backpropagation, rekurentní neuronové sítě, Elmanova síť, backpropagation through time, rozpoznávání obličejů, eigenfaces, počítačové vidění, umělá inteligence, multilayer perceptron, recurrent neural networks, Elman network, face recognition, computer vision, artificial intelligence, Text

URL: http://hdl.handle.net/11012/54172

An architecture for encoding two-dimensional cyclone track prediction problem in coevolutionary recurrent neural networks.

Autori: Chandra, Rohitash Deo, Ratneel Omlin, Christian W.

Zdroj: 2016 International Joint Conference on Neural Networks (IJCNN); 2016, p4865-4872, 8p

BiRen: predicting enhancers with a deep-learning-based model using the DNA sequence alone.

Autori: Bite Yang Feng Liu Chao Ren a ďalší

Zdroj: Bioinformatics; 7/1/2017, Vol. 33 Issue 13, p1930-1936, 7p

Predmety: NUCLEOTIDE sequencing, GENE expression, ANNOTATIONS, GENE expression in mammals, GENOMES

Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling.

Autori: Cherla, Srikanth Tran, Son N. Garcez, Artur d'Avila a ďalší

Zdroj: 2015 25th International Conference on Field Programmable Logic & Applications (FPL); 2015, p1-8, 8p

Training Recurrent Connectionist Models on Symbolic Time Series.

Autori: čerňanský, Michal Beňušková, Ľubica

Zdroj: Advances in Neuro-information Processing: 15th International Conference, Iconip 2008, Auckland, New Zealand, November 25-28, 2008, Revised Selected Papers, Part I; 2009, p285-292, 8p

Two Frameworks for Improving Gradient-Based Learning Algorithms.

Autori: Ventresca, Mario Tizhoosh, H. R.

Zdroj: Oppositional Concepts in Computational Intelligence; 2008, p255-284, 30p

Comparison of Echo State Networks with Simple Recurrent Networks and Variable-Length Markov Models on Symbolic Sequences.

Autori: Hutchison, David Kanade, Takeo Kittler, Josef a ďalší

Zdroj: Artificial Neural Networks - ICANN 2007 (978-3-540-74689-8); 2007, p618-627, 10p