Výsledky vyhledávání - Robust backpropagation learning algorithm

TAO-robust backpropagation learning algorithm

Autoři: Pernía-Espinoza, A.V. Ordieres-Meré, J.B. Martínez-De-Pisón, F.J. a další

Zdroj: RIUR. Repositorio Institucional de la Universidad de La Rioja
Universidad de La Rioja (UR)
RIUR: Repositorio Institucional de la Universidad de La Rioja
Dialnet CRIS Repositorio institucional de la Universidad de La Rioja
instname

Témata: 0209 industrial biotechnology, Robotics, 02 engineering and technology, Robust modelling, Nonlinear Dynamics, Robust learning algorithm, 0202 electrical engineering, electronic engineering, information engineering, Outliers, Animals, Humans, Learning, Computer Simulation, Neural Networks, Computer, Neural networks, Algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/15795116
https://investigacion.unirioja.es/documentos/5bbc6853b750603269e806d0
https://ur.portalcientifico.es/documentos/5bbc6853b750603269e806d0

The annealing robust backpropagation (ARBP) learning algorithm

Autoři: Chen-Chia Chuang Shun-Feng Su Chin-Ching Hsiao

Zdroj: IEEE Transactions on Neural Networks. 11:1067-1077

Témata: robust learning algorithm, outliers, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Annealing schedule

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/18249835

A robust backpropagation learning algorithm for function approximation

Autoři: D.S. Chen R.C. Jain

Zdroj: IEEE Transactions on Neural Networks. 5:467-479

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/18267813

Neural networks with robust backpropagation learning algorithm

Autoři: Beata Walczak

Zdroj: Analytica Chimica Acta. 322:21-29

Témata: 02 engineering and technology, 0210 nano-technology, 01 natural sciences, 0104 chemical sciences

Přístupová URL adresa: http://www.sciencedirect.com/science/article/pii/0003267095005528
https://www.sciencedirect.com/science/article/pii/0003267095005528

Robust MCD-Based Backpropagation Learning Algorithm

Autoři: Andrzej Rusiecki

Zdroj: Lecture Notes in Computer Science ISBN: 9783540695721

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007/978-3-540-69731-2_16.pdf
https://dblp.uni-trier.de/db/conf/icaisc/icaisc2008.html#Rusiecki08
https://link.springer.com/chapter/10.1007%2F978-3-540-69731-2_16
https://doi.org/10.1007/978-3-540-69731-2_16
https://rd.springer.com/chapter/10.1007/978-3-540-69731-2_16

Robust LTS Backpropagation Learning Algorithm

Autoři: Andrzej Rusiecki

Zdroj: Lecture Notes in Computer Science ISBN: 9783540730064

Přístupová URL adresa: https://rd.springer.com/chapter/10.1007/978-3-540-73007-1_13
https://doi.org/10.1007/978-3-540-73007-1_13
https://link.springer.com/content/pdf/10.1007%2F978-3-540-73007-1_13.pdf
https://link.springer.com/chapter/10.1007/978-3-540-73007-1_13
https://dblp.uni-trier.de/db/conf/iwann/iwann2007.html#Rusiecki07

Learning in the machine: Recirculation is random backpropagation

Autoři: Baldi, P Sadowski, P

Témata: Information and Computing Sciences, Machine Learning, Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence, Algorithms, Deep Learning, Neural Networks, Computer, Autoencoders, Backpropagation, Convergence, Random backpropagation, Recirculation, Unsupervised learning, Artificial Intelligence & Image Processing, Artificial intelligence, Machine learning, Statistics

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/62r8j1bs
https://escholarship.org/content/qt62r8j1bs/qt62r8j1bs.pdf

Leveraging Machine Learning Techniques to Predict Cardiovascular Heart Disease.

Autoři: Başar, Remzi Ocak, Öznur Erturk, Alper a další

Zdroj: Information. Aug2025, Vol. 16 Issue 8, p639. 16p.

Témata: *Data mining, *Machine learning, *Artificial neural networks, Cardiovascular diseases, Heart disease diagnosis, Medical technology, Dimensional reduction algorithms

2D Prediction of the Nutritional Composition of Dishes from Food Images: Deep Learning Algorithm Selection and Data Curation Beyond the Nutrition5k Project.

Autoři: Bianco, Rachele Coluccia, Sergio Marinoni, Michela a další

Zdroj: Nutrients. Jul2025, Vol. 18 Issue 13, p2196. 23p.

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

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

Autoři: Neftci, Emre O Augustine, Charles Paul, Somnath a další

Témata: Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Neurological, spiking neural networks, backpropagation algorithm, feedback alignment, embedded cognition, stochastic processes, cs.NE, cs.AI, Cognitive Sciences, Biological psychology

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/335376xb
https://escholarship.org/content/qt335376xb/qt335376xb.pdf

Using machine learning to predict anesthetic dose in fish: a case study using nutmeg oil.

Autoři: Minaz, Mert Alparslan, Cem Er, Akif

Zdroj: Frontiers in Veterinary Science. 2025, p1-15. 15p.

Comparative Prediction of Methane Production In Vitro Using Multiple Regression Model and Backpropagation Neural Network Based on Cornell Net Carbohydrate and Protein System.

Autoři: Yu, Guanghui Li, Zenghui Dong, Ruilan

Zdroj: Veterinary Sciences. Nov2025, Vol. 12 Issue 11, p1099. 18p.

Evaluating the efficacy of bioelectrical impedance analysis using machine learning models for the classification of goats exposed to Haemonchosis.

Autoři: Siddique, Aftab Batchu, Phaneendra Shaik, Arshad a další

Zdroj: Frontiers in Veterinary Science. 2025, p1-11. 11p.

A deep learning strategy for accurate identification of purebred and hybrid pigs across SNP chips.

Autoři: Zhang, Zipeng Fang, Zhengwen Du, Yongwang a další

Zdroj: Journal of Animal Science & Biotechnology. 8/14/2025, Vol. 16 Issue 1, p1-13. 13p.

Artificial Intelligence in Medicine and Sustainable Development.

Autoři: Alfouri, Areeg Alfouri, Shatha

Zdroj: Veterinary Medicine & Public Health Journal. Sep2025, Vol. 6 Issue 3, p105-118. 14p.

Supervised Learning in Neural Networks: Feedback-Network-Free Implementation and Biological Plausibility.

Autoři: Lin, Feng

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Dec2022, Vol. 33 Issue 12, p7888-7898, 11p

Témata: MACHINE learning, SUPERVISED learning, ARTIFICIAL neural networks, BIOLOGICAL neural networks, DEEP learning

A robust backpropagation learning algorithm for function approximation.

Autoři: Chen, D.S. Jain, R.C.

Zdroj: IEEE Transactions on Neural Networks; 1994, Vol. 5 Issue 3, p467-479, 13p

The Annealing Robust Backpropagation (ARBP) Learning Algorithm.

Autoři: Chuang, Chen-Chia Su, Shun-Feng

Zdroj: IEEE Transactions on Neural Networks; Sep2000, Vol. 11 Issue 5, p1067, 11p, 3 Black and White Photographs, 1 Diagram, 7 Charts, 8 Graphs

Témata: SIMULATED annealing, BACK propagation, OUTLIERS (Statistics), ALGORITHMS

Merancang Pengendali Pressure Process Rig Menggunakan Neural Network Berbasis Error dengan Metode Pembelajaran Backpropagation. (Indonesian)

Alternate Title: Designing a Pressure Process Rig Controller Using Error-Based Neural Network with Backpropagation Learning Method. (English)

Autoři: Ashari, Muhammad Kusumoputro, Benyamin Saragih, Dian Putra a další

Zdroj: Techno.com; agu2025, Vol. 24 Issue 3, p944-971, 28p

Témata: ARTIFICIAL neural networks, BACK propagation, FEEDBACK control systems, SUPERVISORY control systems, ADAPTIVE control systems, PRESSURE control, COMPUTER performance