skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 579,857  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page
Show only
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Artificial Neural Networks and Machine Learning - ICANN 2013: 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings
Artificial Neural Networks and Machine Learning - ICANN 2013: 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings
Material Type:
Book 		Add to My Research

Artificial Neural Networks and Machine Learning - ICANN 2013: 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013, Proceedings

ISBN: 3642407285 ;ISBN: 9783642407284 ;ISBN: 3642407277 ;ISBN: 9783642407277 ;EISBN: 3642407285 ;EISBN: 9783642407284 ;OCLC: 936312750

Full text available

Citations Cited by
2
Artificial Neural Networks - Application
Material Type:
Book 		Add to My Research

Artificial Neural Networks - Application

ISBN953-307-188-5;ISBN953-51-4499-5

Digital Resources/Online E-Resources

3
Applied Artificial Neural Networks
Material Type:
Book 		Add to My Research

Applied Artificial Neural Networks

ISBN3-03842-270-3

Digital Resources/Online E-Resources

4
PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Convolutional Neural Networks
PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Convolutional Neural Networks
Material Type:
Article 		Add to My Research

PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Convolutional Neural Networks

Journal of hydrometeorology, 2019-12, Vol.20 (12), p.2273-2289 [Peer Reviewed Journal]

2019 American Meteorological Society ;Copyright American Meteorological Society Dec 2019 ;ISSN: 1525-755X ;EISSN: 1525-7541 ;DOI: 10.1175/jhm-d-19-0110.1

Full text available

Citations Cited by
5
From Natural to Artificial Neural Computation: International Workshop on Artificial Neural Networks Malaga-Torremolinos, Spain, June 7–9, 1995 Proceedings
From Natural to Artificial Neural Computation: International Workshop on Artificial Neural Networks Malaga-Torremolinos, Spain, June 7–9, 1995 Proceedings
Material Type:
Book 		Add to My Research

From Natural to Artificial Neural Computation: International Workshop on Artificial Neural Networks Malaga-Torremolinos, Spain, June 7–9, 1995 Proceedings

Springer-Verlag Berlin Heidelberg 1995 ;ISSN: 0302-9743 ;ISBN: 3662209969 ;ISBN: 3540594973 ;ISBN: 9783540594970 ;ISBN: 9783662209967 ;EISSN: 1611-3349 ;EISBN: 3540492887 ;EISBN: 9783540492887 ;DOI: 10.1007/3-540-59497-3

Full text available

Citations Cited by
6
Artificial Neural Networks - Architectures and Applications
Material Type:
Book 		Add to My Research

Artificial Neural Networks - Architectures and Applications

ISBN953-510-935-9

Digital Resources/Online E-Resources

7
Artificial Neural Networks and Neural Information Processing -- ICANN/ICONIP 2003: Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings
Artificial Neural Networks and Neural Information Processing -- ICANN/ICONIP 2003: Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings
Material Type:
Book 		Add to My Research

Artificial Neural Networks and Neural Information Processing -- ICANN/ICONIP 2003: Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings

Springer-Verlag Berlin Heidelberg 2003 ;ISSN: 0302-9743 ;ISBN: 3540404082 ;ISBN: 9783540404088 ;ISBN: 3662204614 ;ISBN: 9783662204610 ;EISSN: 1611-3349 ;EISBN: 9783540449898 ;EISBN: 3540449892 ;DOI: 10.1007/3-540-44989-2 ;OCLC: 958523112

Full text available

Citations Cited by
8
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
Material Type:
Article 		Add to My Research

Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)

Hydrology and earth system sciences, 2021-04, Vol.25 (3), p.1671-1687 [Peer Reviewed Journal]

COPYRIGHT 2021 Copernicus GmbH ;2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1607-7938 ;ISSN: 1027-5606 ;EISSN: 1607-7938 ;DOI: 10.5194/hess-25-1671-2021

Full text available

Citations Cited by
9
Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction
Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction
Material Type:
Article 		Add to My Research

Performance evaluation of artificial intelligence paradigms—artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction

Environmental science and pollution research international, 2021-05, Vol.28 (20), p.25265-25282 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021. ;ISSN: 0944-1344 ;EISSN: 1614-7499 ;DOI: 10.1007/s11356-021-12410-1 ;PMID: 33453033

Full text available

Citations Cited by
10
Engineering Applications of Bio-Inspired Artificial Neural Networks: International Work-Conference on Artificial and Natural Neural Networks, IWANN'99 Alicante, Spain, June 2–4, 1999 Proceedings, Volume II
Engineering Applications of Bio-Inspired Artificial Neural Networks: International Work-Conference on Artificial and Natural Neural Networks, IWANN'99 Alicante, Spain, June 2–4, 1999 Proceedings, Volume II
Material Type:
Book 		Add to My Research

Engineering Applications of Bio-Inspired Artificial Neural Networks: International Work-Conference on Artificial and Natural Neural Networks, IWANN'99 Alicante, Spain, June 2–4, 1999 Proceedings, Volume II

Springer-Verlag Berlin Heidelberg 1999 ;ISSN: 0302-9743 ;ISBN: 9783540660682 ;ISBN: 3540660682 ;ISBN: 9783662194591 ;ISBN: 3662194597 ;EISSN: 1611-3349 ;EISBN: 3540487727 ;EISBN: 9783540487722 ;DOI: 10.1007/BFb0100465

Full text available

Citations Cited by
11
Measuring the anomalous quartic gauge couplings in the W+W−→ W+W− process at muon collider using artificial neural networks
Measuring the anomalous quartic gauge couplings in the W+W−→ W+W− process at muon collider using artificial neural networks
Material Type:
Article 		Add to My Research

Measuring the anomalous quartic gauge couplings in the W+W−→ W+W− process at muon collider using artificial neural networks

The journal of high energy physics, 2022-09, Vol.2022 (9), p.74-32, Article 74 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP09(2022)074

Full text available

Citations Cited by
12
Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence
Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence
Material Type:
Article 		Add to My Research

Water, Energy, and Carbon with Artificial Neural Networks (WECANN): A statistically-based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence

Biogeosciences, 2017-09, Vol.14 (18), p.4101-4124 [Peer Reviewed Journal]

COPYRIGHT 2017 Copernicus GmbH ;Copyright Copernicus GmbH 2017 ;2017. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;ISSN: 1726-4170 ;ISSN: 1726-4189 ;EISSN: 1726-4189 ;DOI: 10.5194/bg-14-4101-2017 ;PMID: 29290755

Full text available

Citations Cited by
13
The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction
The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction
Material Type:
Article 		Add to My Research

The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction

Decision analytics journal, 2022-03, Vol.2, p.100015, Article 100015 [Peer Reviewed Journal]

2021 The Authors ;ISSN: 2772-6622 ;EISSN: 2772-6622 ;DOI: 10.1016/j.dajour.2021.100015

Full text available

Citations Cited by
14
Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada
Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada
Material Type:
Article 		Add to My Research

Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada

Water resources research, 2012-01, Vol.48 (1), p.n/a [Peer Reviewed Journal]

Copyright 2012 by the American Geophysical Union ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2010WR009945

Full text available

Citations Cited by
15
Artificial Neural Networks: Recent Advances, New Perspectives and Applications
Artificial Neural Networks: Recent Advances, New Perspectives and Applications
Material Type:
Book 		Add to My Research

Artificial Neural Networks: Recent Advances, New Perspectives and Applications

ISSN: 2633-1403 ;ISBN: 9781837682225 ;ISBN: 1837682224 ;ISBN: 9781837682232 ;ISBN: 1837699941 ;ISBN: 1837682232 ;ISBN: 9781837699940 ;DOI: 10.5772/intechopen.100662

Full text available

Citations Cited by
16
artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
Material Type:
Article 		Add to My Research

artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia

Environmental earth sciences, 2012-09, Vol.67 (1), p.251-264 [Peer Reviewed Journal]

Springer-Verlag 2011 ;Springer-Verlag 2012 ;ISSN: 1866-6280 ;EISSN: 1866-6299 ;DOI: 10.1007/s12665-011-1504-z

Full text available

Citations Cited by
17
Modelling ragpickers’ productivity at the bottom of the pyramid: the use of artificial neural networks (ANNs)
Modelling ragpickers’ productivity at the bottom of the pyramid: the use of artificial neural networks (ANNs)
Material Type:
Article 		Add to My Research

Modelling ragpickers’ productivity at the bottom of the pyramid: the use of artificial neural networks (ANNs)

International journal of operations & production management, 2022-03, Vol.42 (4), p.552-576 [Peer Reviewed Journal]

Emerald Publishing Limited ;Emerald Publishing Limited. ;ISSN: 0144-3577 ;EISSN: 1758-6593 ;DOI: 10.1108/IJOPM-01-2021-0031

Full text available

Citations Cited by
18
Synaptic Scaling--An Artificial Neural Network Regularization Inspired by Nature
Synaptic Scaling--An Artificial Neural Network Regularization Inspired by Nature
Material Type:
Article 		Add to My Research

Synaptic Scaling--An Artificial Neural Network Regularization Inspired by Nature

IEEE transaction on neural networks and learning systems, 2022-07, p.1-15

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2021.3050422 ;CODEN: ITNNAL

Digital Resources/Online E-Resources

Citations Cited by
19
Discovering relationships and forecasting PM10 and PM2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering
Discovering relationships and forecasting PM10 and PM2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering
Material Type:
Article 		Add to My Research

Discovering relationships and forecasting PM10 and PM2.5 concentrations in Bogotá, Colombia, using Artificial Neural Networks, Principal Component Analysis, and k-means clustering

Atmospheric pollution research, 2018-09, Vol.9 (5), p.912-922 [Peer Reviewed Journal]

2018 ;ISSN: 1309-1042 ;EISSN: 1309-1042 ;DOI: 10.1016/j.apr.2018.02.006

Full text available

Citations Cited by
20
Technical note: Application of artificial neural networks in groundwater table forecasting – a case study in a Singapore swamp forest
Technical note: Application of artificial neural networks in groundwater table forecasting – a case study in a Singapore swamp forest
Material Type:
Article 		Add to My Research

Technical note: Application of artificial neural networks in groundwater table forecasting – a case study in a Singapore swamp forest

Hydrology and earth system sciences, 2016-04, Vol.20 (4), p.1405-1412 [Peer Reviewed Journal]

COPYRIGHT 2016 Copernicus GmbH ;Copyright Copernicus GmbH 2016 ;2016. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1607-7938 ;ISSN: 1027-5606 ;EISSN: 1607-7938 ;DOI: 10.5194/hess-20-1405-2016

Full text available

Citations Cited by

Results 1 - 20 of 579,857  for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method
Results 1 2 3 4 5 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Show only

  1. Peer-reviewed Journals (414,776)

Refine My Results

Creation Date 

From To
Refine
  1. Before 1964  (38)
  2. 1964 To 1978  (104)
  3. 1979 To 1993  (4,130)
  4. 1994 To 2009  (66,159)
  5. After 2009  (509,848)
  6. More options open sub menu

Resource Type 

  1. Articles  (496,985)
  2. Patents  (36,882)
  3. Book Chapters  (13,956)
  4. Conference Proceedings  (11,373)
  5. Thesises (postgraduate)  (6,489)
  6. Books  (4,916)
  7. magazinearticle  (4,438)
  8. Reviews  (1,240)
  9. Reports  (1,174)
  10. Web Resources  (844)
  11. References  (451)
  12. Newspaper Articles  (425)
  13. Standards  (206)
  14. Text Resources  (148)
  15. Newsletter Articles  (103)
  16. Images  (94)
  17. Other  (63)
  18. Datasets  (58)
  19. Government Documents  (5)
  20. Videos  (5)
  21. Journals  (1)
  22. More options open sub menu

Language 

  1. English  (569,295)
  2. Japanese  (30,475)
  3. Chinese  (14,168)
  4. French  (6,513)
  5. Korean  (4,300)
  6. German  (3,673)
  7. Portuguese  (2,576)
  8. Spanish  (2,506)
  9. Russian  (904)
  10. Croatian  (637)
  11. Persian  (627)
  12. Turkish  (334)
  13. Norwegian  (311)
  14. Polish  (289)
  15. Arabic  (265)
  16. Czech  (180)
  17. Indonesian  (160)
  18. Catalan  (108)
  19. Italian  (106)
  20. Slovak  (92)
  21. More options open sub menu

Suggested New Searches

Ignore my query and look for everything

by this author/creator:

  1. Christian Dawson (Ed.)
  2. Joao Luis G. Rosa
  3. Saro Lee (Ed.)
  4. Adel El Shahat
  5. Kenji Suzuki et al

on this subject:

  1. Science & Technology
  2. Technology
  3. Neural Networks
  4. Algorithms
  5. Machine Learning
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait