Výsledky vyhledávání - "Backpropagation learning algorithm"

PREDICTING THE PERFORMANCE PARAMETERS OF CHISEL PLOW USING NEURAL NETWORK MODEL

Autoři: Samy Marey Abdulwahed Aboukarima Yousef Almajhadi

Zdroj: Engenharia Agrícola
Engenharia Agrícola v.40 n.6 2020
Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
Engenharia Agrícola, Volume: 40, Issue: 6, Pages: 719-731, Published: 23 NOV 2020

Témata: fuel consumption, Agriculture (General), backpropagation-learning algorithm, 0401 agriculture, forestry, and fisheries, 04 agricultural and veterinary sciences, draft, overall energy efficiency, S1-972

Popis souboru: text/html

Přístupová URL adresa: https://www.scielo.br/j/eagri/a/fdcVsYhTYnWcPpfHzQGspJP/?lang=en&format=pdf
https://doaj.org/article/7d530ed375ef4c10a319302b3b0cc64c
https://www.scielo.br/j/eagri/a/fdcVsYhTYnWcPpfHzQGspJP/
http://www.scielo.br/j/eagri/a/fdcVsYhTYnWcPpfHzQGspJP/
https://www.mysciencework.com/publication/show/predicting-performance-parameters-chisel-plow-using-neural-network-model-44fdd882
http://www.scielo.br/pdf/eagri/v40n6/1809-4430-eagri-40-06-0719.pdf
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600719
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600719&lng=en&tlng=en

Prediction of main particulars of a chemical tanker at preliminary ship design using artificial neural network

Autoři: Samet Gurgen Ismail Altin Murat Ozkok a další

Přispěvatelé: Samet Gurgen Ismail Altin Murat Ozkok a další

Zdroj: Ships and Offshore Structures. 13:459-465

Témata: Artificial neural network, Container Ship | Whipping | Slamming, Preliminary ship design, Marine, Backpropagation algorithms, Shipbuilding, Backpropagation learning algorithm, Chemical tankers, Backpropagation, 02 engineering and technology, 16. Peace & justice, Chemical tanker, Preliminary ship designs, 0201 civil engineering, Artificial neural network models, Engineering, Correlation coefficient, Tankers (ships), Mean absolute percentage error, Sailing vessels, High-accuracy, Neural networks, Ships

Popis souboru: application/pdf

Přístupová URL adresa: https://avesis.ktu.edu.tr/yayin/79ff0899-5cf7-4e8a-8336-4db93729a05d/prediction-of-main-particulars-of-a-chemical-tanker-at-preliminary-ship-design-using-artificial-neural-network
https://trid.trb.org/view/1506561
https://www.tandfonline.com/doi/full/10.1080/17445302.2018.1425337
https://hdl.handle.net/20.500.12508/726

Distributed Neural Observer-Based Formation Strategy of Non-Affine Nonlinear Multi-Agent Systems with Unknown Dynamics

Autoři: Manouchehri, Pejman orcid:0000-0002-0503- Ghasemi, Reza a další

Témata: Backpropagation learning algorithm, chaotic system, distributed neural observer, Multi-Agent System (MAS), nonaffine nonlinear systems

Relation: https://zenodo.org/records/16380747; oai:zenodo.org:16380747; https://doi.org/10.1142/S0218126621300051

Dostupnost: https://doi.org/10.1142/S0218126621300051
https://zenodo.org/records/16380747

Application of machine learning techniques for solving real world business problems : the case study - target marketing of insurance policies

Autoři: Juozenaite, Ineta Castelli, Mauro RUN

Přispěvatelé: Juozenaite, Ineta Castelli, Mauro RUN

Témata: Machine Learning, Logistic Regression, Decision Tree CART, Artificial Neural Network, Multilayer, Percptron, Backpropagation learning algorithm, Support Vector Machine, Kernel Gaussian

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/32410

PREDICTING THE PERFORMANCE PARAMETERS OF CHISEL PLOW USING NEURAL NETWORK MODEL

Autoři: Marey,Samy Aboukarima,Abdulwahed Almajhadi,Yousef

Zdroj: Engenharia Agrícola v.40 n.6 2020

Témata: backpropagation-learning algorithm, draft, fuel consumption, overall energy efficiency

Popis souboru: text/html

Dostupnost: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600719

Backpropagation learning algorithms for classification with fuzzy mean square error

Autoři: Deepak Khemani B. Yegnanarayana M. Sarkar

Zdroj: Pattern Recognition Letters. 19:43-51

Témata: Pattern recognition, speech recognition, Learning and adaptive systems in artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Parallel algorithms in computer science, fuzzy classification, feedforward neural networks, backpropagation learning algorithm

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/1213946
https://doi.org/10.1016/s0167-8655(97)00151-7

Polynomial Based Functional Link Artificial Recurrent Neural Network adaptive System for predicting Indian Stocks

Autoři: D. K. Bebarta Birendra Biswal P. K. Dash

Zdroj: International Journal of Computational Intelligence Systems, Vol 8, Iss 6 (2015)

Témata: PFLARNN, Polynomial functions, backpropagation learning algorithm, differential evolution, IBM stock indices, MAPE, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://www.atlantis-press.com/article/25868645.pdf; https://doaj.org/toc/1875-6883

Přístupová URL adresa: https://doaj.org/article/70a5d0afe68b43b8bbe67cde22a0c6fd

Determination Leakage Reactange in Monophase Transformers Using by Cascaded Neural Network

Autoři: NOGAY, Selcuk

Zdroj: Volume: 4, Issue: 2 89-96
Balkan Journal of Electrical and Computer Engineering

Témata: Transformator, Leakage Induction Coefficient, Cacaded Neural Network, Backpropagation Learning Algorithm, Engineering, 0202 electrical engineering, electronic engineering, information engineering, Mühendislik, 02 engineering and technology

Popis souboru: application/pdf

Přístupová URL adresa: https://avesis.kayseri.edu.tr/publication/details/84290e23-e673-4462-991b-5936211c752f/oai
https://avesis.erciyes.edu.tr/publication/details/e0b1f48a-cd91-4cd4-b58f-305d8da74930/oai
https://avesis.uludag.edu.tr/publication/details/e9a8e0bf-0dc0-4d67-ba0b-f6780c9df696/oai
https://dergipark.org.tr/tr/pub/bajece/issue/36581/415813

Determination of leakage reactance in monophase transformers using by cascaded neural network

Autoři: NOGAY, Selcuk

Zdroj: Volume: 4, Issue: 2 89-96
Balkan Journal of Electrical and Computer Engineering

Témata: Transformator, Leakage Induction Coefficient, Cacaded Neural Network, Backpropagation Learning Algorithm, Engineering, 0202 electrical engineering, electronic engineering, information engineering, Mühendislik, 02 engineering and technology

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/bajece/issue/36581/415813

Protein Secondary Structure Prediction with Bidirectional Recurrent Neural Nets: Can Weight Updating for Each Residue Enhance Performance?

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

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

Zdroj: IFIP Advances in Information and Communication Technology ISBN: 9783642162381
6th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2010
IFIP Advances in Information and Communication Technology

Témata: 0301 basic medicine, Artificial intelligence, Bioinformatics, 0206 medical engineering, Backpropagation learning algorithm, Bioinformatics and Computational Biology, 02 engineering and technology, Learning algorithms, Online training, Post processing, Protein Secondary Structure Prediction, 7. Clean energy, 03 medical and health sciences, Bidirectional Re- current Neural Networks, Reinforcement learning, Hidden Markov models, Training procedures, Protein 3-D structure, Backpropagation algorithms, Bidirectional Recurrent Neural Networks, Three dimensional, Network architecture, Proteins, 15. Life on land, Global informations, Markov model, 3. Good health, Computational neural networks, Recurrent neural networks, 13. Climate action, Neural net, Amino acids, Percentage points, Weight update, Three dimensional computer graphics, [INFO.INFO-DL] Computer Science [cs]/Digital Libraries [cs.DL], Forecasting

Popis souboru: application/pdf

Přístupová URL adresa: https://link.springer.com/content/pdf/10.1007%2F978-3-642-16239-8_19.pdf
https://inria.hal.science/hal-01060660v1/document
https://doi.org/10.1007/978-3-642-16239-8_19
https://inria.hal.science/hal-01060660v1
https://dblp.uni-trier.de/db/conf/ifip12/aiai2010.html#AgathocleousCPCVA10
https://hal.inria.fr/hal-01060660/document
https://link.springer.com/content/pdf/10.1007%2F978-3-642-16239-8_19.pdf
https://rd.springer.com/chapter/10.1007/978-3-642-16239-8_19
https://link.springer.com/chapter/10.1007%2F978-3-642-16239-8_19
https://hal.inria.fr/IFIP-AICT-339/hal-01060660
http://gnosis.library.ucy.ac.cy/handle/7/53501

GERİ-YAYILMALI ÖĞRENME ALGORİTMASINDAKİ ÖĞRENME PARAMETRELERİNİN GENETİK ALGORİTMA İLE BELİRLENMESİ

Autoři: ÜSTÜN, Oğuz YILDIZ, İlker

Zdroj: Volume: 1, Issue: 2 61-73
Uluslararası Teknolojik Bilimler Dergisi
International Journal of Technological Sciences

Témata: Geri-yayılmalı öğrenme algoritması, öğrenme parametreleri, ileri beslemeli sinir ağları, genetik algoritmalar, öğrenme katsayısı, momentum katsayısı, Backpropagation learning algorithm, learning parameters, feedforward neural networks, genetic algorithms, learning rate, momentum rate

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/utbd/issue/25992/273764

PREDICTING THE PERFORMANCE PARAMETERS OF CHISEL PLOW USING NEURAL NETWORK MODEL

Autoři: Marey, Samy Aboukarima, Abdulwahed Almajhadi, Yousef

Zdroj: Engenharia Agrícola, Volume: 40, Issue: 6, Pages: 719-731, Published: 23 NOV 2020. November 2020

Témata: backpropagation-learning algorithm, draft, fuel consumption, overall energy efficiency

Popis souboru: text/html

Přístupová URL adresa: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162020000600719&lng=en&tlng=en

On learning analysis of neural fuzzy systems

Autoři: Yeh J.-W. Su S.-F. Jeng J.-T. a další

Přispěvatelé: Yeh J.-W. Su S.-F. Jeng J.-T. a další

Témata: Backpropagation learning algorithm, Learning behavior, Learning performance, Neural fuzzy inference network, Neural fuzzy systems, Overfitting, Parameter selection, Recursive least square algorithms, RLS algorithms, Self-constructing, Structure-learning, Testing errors, Testing performance, Artificial intelligence, Backpropagation algorithms, Covariance matrix, Fuzzy inference, Fuzzy sets, Membership functions, Learning algorithms

Relation: 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010, Barcelona; http://ir.lib.ntust.edu.tw/handle/987654321/26678; http://ir.lib.ntust.edu.tw/bitstream/987654321/26678/-1/index.html

Dostupnost: http://ir.lib.ntust.edu.tw/handle/987654321/26678
http://ir.lib.ntust.edu.tw/bitstream/987654321/26678/-1/index.html

GERİ-YAYILMALI ÖĞRENME ALGORİTMASINDAKİ ÖĞRENME PARAMETRELERİNİN GENETİK ALGORİTMA İLE BELİRLENMESİ ; DETERMINATION OF THE LEARNING PARAMETERS IN BACKPROPAGATION LEARNING ALGORITHM BY GENETIC ALGORITHM

Autoři: Üstün, Oğuz Yıldız, İlker

Zdroj: Volume: 1, Issue: 261-73 ; 1309-1220 ; Uluslararası Teknolojik Bilimler Dergisi ; International Journal of Technological Sciences

Témata: Geri-yayılmalı öğrenme algoritması, öğrenme parametreleri, ileri beslemeli sinir ağları, genetik algoritmalar, öğrenme katsayısı, momentum katsayısı, Backpropagation learning algorithm, learning parameters, feedforward neural networks, genetic algorithms, learning rate, momentum rate

Popis souboru: application/pdf

Relation: https://dergipark.org.tr/tr/download/article-file/254862; https://dergipark.org.tr/tr/pub/utbd/issue/25992/273764

Dostupnost: https://dergipark.org.tr/tr/pub/utbd/issue/25992/273764

Neural Networks Skin Tumor Diagnostic System

Autoři: Zhang, Zhao Stoecker, William V. Moss, Randy Hays

Zdroj: Electrical and Computer Engineering Faculty Research & Creative Works

Témata: Backpropagation, Backpropagation Learning Algorithm, Feature Extraction, Malignant Melanoma Diagnostic System, Medical Image Processing, Neural Nets, Neural Networks, Skin Tumor Diagnostic System, Skin Tumor Images, Tumours, Electrical and Computer Engineering

Popis souboru: application/pdf

Relation: https://scholarsmine.mst.edu/ele_comeng_facwork/1770; https://scholarsmine.mst.edu/context/ele_comeng_facwork/article/2769/viewcontent/Neural_Networks_Skin_Tumor_Diagnostic_System.pdf

Dostupnost: https://scholarsmine.mst.edu/ele_comeng_facwork/1770
https://doi.org/10.1109/ICNNSP.2003.1279243
https://scholarsmine.mst.edu/context/ele_comeng_facwork/article/2769/viewcontent/Neural_Networks_Skin_Tumor_Diagnostic_System.pdf

A Perceptron with Optimized Backpropagation Learning Algorithm to preset a Temper mill machine: NEUROSKIN

Autoři: Nicolas Pican Patrick Patrick Bresson Frdric Alexandre a další

Přispěvatelé: Nicolas Pican Patrick Patrick Bresson Frdric Alexandre a další

Zdroj: ftp://ftp.loria.fr/pub/loria/rfia/publications/cortex/pican.Perceptron-Temper_Mill93.ps.Z

Témata: MLP, Optimized Backpropagation Learning Algorithm

Popis souboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.468

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.38.468

A Perceptron with Optimized Backpropagation Learning Algorithm to preset a Temper mill machine: NEUROSKIN

Autoři: N. Pican P. Bresson F. Alexandre a další

Přispěvatelé: N. Pican P. Bresson F. Alexandre a další

Zdroj: http://www.cee.hw.ac.uk/~ceenvp/home/Pages/publications/NEURONIMES93.ps.Z.

Témata: MLP, Optimized Backpropagation Learning Algorithm, training

Popis souboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.8286; http://www.cee.hw.ac.uk/~ceenvp/home/Pages/publications/NEURONIMES93.ps.Z

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.8286
http://www.cee.hw.ac.uk/~ceenvp/home/Pages/publications/NEURONIMES93.ps.Z

Generalized net model of adjoint neural networks.

Autoři: Krawczak, Maciej Aladjov, Hristo

Témata: Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.), Learning and adaptive systems in artificial intelligence, Deterministic network models in operations research, Neural networks for/in biological studies, artificial life and related topics, backpropagation learning algorithm

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/2020842

Annealing Robust Radial Basis Function Networks for Modeling with Outliers

Autoři: Chuang, Chen-Chia Jeng, Jin-Tsong Lin, Pao-Tsun

Témata: Outliers, Annealing robust backpropagation learning algorithm, Radial basis function networks, Support vector regression, Fuzzy Theory

Popis souboru: 8p.; 76198 bytes; application/pdf

Relation: 2001 NCS會議; http://dspace.lib.fcu.edu.tw/handle/2377/1235

Dostupnost: http://dspace.lib.fcu.edu.tw/handle/2377/1235