Gotowa bibliografia na temat „Artificial neural network”
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Artykuły w czasopismach na temat "Artificial neural network"
CVS, Rajesh, i Nadikoppula Pardhasaradhi. "Analysis of Artificial Neural-Network". International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (31.10.2018): 418–28. http://dx.doi.org/10.31142/ijtsrd18482.
Pełny tekst źródłaO., Sheeba, Jithin George, Rajin P. K., Nisha Thomas i Thomas George. "Glaucoma Detection Using Artificial Neural Network". International Journal of Engineering and Technology 6, nr 2 (2014): 158–61. http://dx.doi.org/10.7763/ijet.2014.v6.687.
Pełny tekst źródłaAl-Abaid, Shaimaa Abbas. "Artificial Neural Network Based Image Encryption Technique". Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (28.02.2020): 1184–89. http://dx.doi.org/10.5373/jardcs/v12sp3/20201365.
Pełny tekst źródłaGupta, Sakshi. "Concrete Mix Design Using Artificial Neural Network". Journal on Today's Ideas-Tomorrow's Technologies 1, nr 1 (3.06.2013): 29–43. http://dx.doi.org/10.15415/jotitt.2013.11003.
Pełny tekst źródłaAl-Rawi, Kamal R., i Consuelo Gonzalo. "Adaptive Pointing Theory (APT) Artificial Neural Network". International Journal of Computer and Communication Engineering 3, nr 3 (2014): 212–15. http://dx.doi.org/10.7763/ijcce.2014.v3.322.
Pełny tekst źródłaJung, Jisoo, i Ji Won Yoon. "Author Identification Using Artificial Neural Network". Journal of the Korea Institute of Information Security and Cryptology 26, nr 5 (31.10.2016): 1191–99. http://dx.doi.org/10.13089/jkiisc.2016.26.5.1191.
Pełny tekst źródłaMahat, Norpah, Nor Idayunie Nording, Jasmani Bidin, Suzanawati Abu Hasan i Teoh Yeong Kin. "Artificial Neural Network (ANN) to Predict Mathematics Students’ Performance". Journal of Computing Research and Innovation 7, nr 1 (30.03.2022): 29–38. http://dx.doi.org/10.24191/jcrinn.v7i1.264.
Pełny tekst źródłaYashchenko, V. O. "Artificial brain. Biological and artificial neural networks, advantages, disadvantages, and prospects for development". Mathematical machines and systems 2 (2023): 3–17. http://dx.doi.org/10.34121/1028-9763-2023-2-3-17.
Pełny tekst źródłaJORGENSEN, THOMAS D., BARRY P. HAYNES i CHARLOTTE C. F. NORLUND. "PRUNING ARTIFICIAL NEURAL NETWORKS USING NEURAL COMPLEXITY MEASURES". International Journal of Neural Systems 18, nr 05 (październik 2008): 389–403. http://dx.doi.org/10.1142/s012906570800166x.
Pełny tekst źródłaBegum, Afsana, Md Masiur Rahman i Sohana Jahan. "Medical diagnosis using artificial neural networks". Mathematics in Applied Sciences and Engineering 5, nr 2 (4.06.2024): 149–64. http://dx.doi.org/10.5206/mase/17138.
Pełny tekst źródłaRozprawy doktorskie na temat "Artificial neural network"
BRUCE, WILLIAM, i OTTER EDVIN VON. "Artificial Neural Network Autonomous Vehicle : Artificial Neural Network controlled vehicle". Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191192.
Pełny tekst źródłaDenna rapport har som mal att beskriva hur en Artificiellt Neuronnatverk al- goritm kan anvandas for att kontrollera en bil. Det beskriver teorin bakom neu- ronnatverk och autonoma farkoster samt hur en prototyp, som endast anvander en kamera som indata, kan designas for att testa och utvardera algoritmens formagor. Rapporten kommer visa att ett neuronnatverk kan, med bildupplos- ningen 100 × 100 och traningsdata innehallande 900 bilder, ta beslut med en 0.78 sakerhet.
Смаль, Богдан Віталійович. "Artificial Neural Network". Thesis, Київський національний університет технологій та дизайну, 2017. https://er.knutd.edu.ua/handle/123456789/7384.
Pełny tekst źródłaChambers, Mark Andrew. "Queuing network construction using artificial neural networks /". The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193665234291.
Pełny tekst źródłaLeija, Carlos Ivan. "An artificial neural network with reconfigurable interconnection network". To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Pełny tekst źródłaAlkharobi, Talal M. "Secret sharing using artificial neural network". Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1223.
Pełny tekst źródłaZhao, Lichen. "Random pulse artificial neural network architecture". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0006/MQ36758.pdf.
Pełny tekst źródłaParzhin, Yu, А. Rohovyi i V. Nevliudova. "Detector Artificial Neural Network. Neurobiological rationale". Thesis, ХНУРЕ, 2019. http://openarchive.nure.ua/handle/document/10037.
Pełny tekst źródłaNg, Justin. "Artificial Neural Network-Based Robotic Control". DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1846.
Pełny tekst źródłaKhazanova, Yekaterina. "Experiments with Neural Network Libraries". University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1527607591612278.
Pełny tekst źródłaLukashev, A. "Basics of artificial neural networks (ANNs)". Thesis, Київський національний університет технологій та дизайну, 2018. https://er.knutd.edu.ua/handle/123456789/11353.
Pełny tekst źródłaKsiążki na temat "Artificial neural network"
Shanmuganathan, Subana, i Sandhya Samarasinghe, red. Artificial Neural Network Modelling. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28495-8.
Pełny tekst źródłaS, Mohan. Artificial neural network modelling. Roorkee: Indian National Committee on Hydrology, 2007.
Znajdź pełny tekst źródłaNeural network models in artificial intelligence. New York: E. Horwood, 1990.
Znajdź pełny tekst źródłaZeidenberg, Matthew. Neural network models in artificial intelligence and cognition. Chichester: Ellis Horwood, 1989.
Znajdź pełny tekst źródłaBisi, Manjubala, i Neeraj Kumar Goyal. Artificial Neural Network for Software Reliability Prediction. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119223931.
Pełny tekst źródłaRoberts, S. G. The evolution of artificial neural network structures. Manchester: UMIST, 1997.
Znajdź pełny tekst źródłaKattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.
Znajdź pełny tekst źródłaKattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.
Znajdź pełny tekst źródłaNorth Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Artificial neural network approaches in guidance and control. Neuilly sur Seine, France: AGARD, 1991.
Znajdź pełny tekst źródłaSmith, Amelia. Predicting disease outcomes using an artificial neural network. Oxford: Oxford Brookes University, 2003.
Znajdź pełny tekst źródłaCzęści książek na temat "Artificial neural network"
Zhang, Dengsheng. "Artificial Neural Network". W Texts in Computer Science, 207–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17989-2_9.
Pełny tekst źródłaRathore, Heena. "Artificial Neural Network". W Mapping Biological Systems to Network Systems, 79–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29782-8_7.
Pełny tekst źródłaShekhar, Shashi, i Hui Xiong. "Artificial Neural Network". W Encyclopedia of GIS, 31. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_72.
Pełny tekst źródłaZhou, Hong. "Artificial Neural Network". W Learn Data Mining Through Excel, 163–87. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5982-5_11.
Pełny tekst źródłaAyyadevara, V. Kishore. "Artificial Neural Network". W Pro Machine Learning Algorithms, 135–65. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3564-5_7.
Pełny tekst źródłaZhang, Zhihua. "Artificial Neural Network". W Multivariate Time Series Analysis in Climate and Environmental Research, 1–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67340-0_1.
Pełny tekst źródłaAttew, David. "Artificial Neural Network". W Perspectives in Neural Computing, 157–66. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0151-2_18.
Pełny tekst źródłaWang, Sun-Chong. "Artificial Neural Network". W Interdisciplinary Computing in Java Programming, 81–100. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0377-4_5.
Pełny tekst źródłaWeik, Martin H. "artificial neural network". W Computer Science and Communications Dictionary, 65. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_860.
Pełny tekst źródłaMajumder, Mrinmoy. "Artificial Neural Network". W Impact of Urbanization on Water Shortage in Face of Climatic Aberrations, 49–54. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-4560-73-3_3.
Pełny tekst źródłaStreszczenia konferencji na temat "Artificial neural network"
Zheng, Shengjie, Lang Qian, Pingsheng Li, Chenggang He, Xiaoqi Qin i Xiaojian Li. "An Introductory Review of Spiking Neural Network and Artificial Neural Network: From Biological Intelligence to Artificial Intelligence". W 8th International Conference on Artificial Intelligence (ARIN 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121010.
Pełny tekst źródłaYang, Zhun, Adam Ishay i Joohyung Lee. "NeurASP: Embracing Neural Networks into Answer Set Programming". W Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/243.
Pełny tekst źródłaKumari, Neha, i Vani Bhargava. "Artificial Neural Network". W 2019 International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT). IEEE, 2019. http://dx.doi.org/10.1109/icict46931.2019.8977685.
Pełny tekst źródłaMehdizadeh, Nasser S., Payam Sinaei i Ali L. Nichkoohi. "Modeling Jones’ Reduced Chemical Mechanism of Methane Combustion With Artificial Neural Network". W ASME 2010 3rd Joint US-European Fluids Engineering Summer Meeting collocated with 8th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2010. http://dx.doi.org/10.1115/fedsm-icnmm2010-31186.
Pełny tekst źródłaPryor, Connor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang i Lise Getoor. "NeuPSL: Neural Probabilistic Soft Logic". W Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/461.
Pełny tekst źródłaZhan, Tiffany. "Hyper-Parameter Tuning in Deep Neural Network Learning". W 8th International Conference on Artificial Intelligence and Applications (AI 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121809.
Pełny tekst źródłaMahajan, R. L. "Strategies for Building Artificial Neural Network Models". W ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1464.
Pełny tekst źródłaDolezel, Petr, Martin Manska, Ivan Taufer i Libor Havlicek. "Artificial neural network promotion". W 2013 International Conference on Process Control (PC). IEEE, 2013. http://dx.doi.org/10.1109/pc.2013.6581411.
Pełny tekst źródłaPande, Bhushan, Eesha Kulkarni, Priyansh Solanki i Pratvina Talele. "Augean Artificial Neural Network". W 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA). IEEE, 2020. http://dx.doi.org/10.1109/icirca48905.2020.9183276.
Pełny tekst źródłaMughaz, Dror, Michael Cohen, Sagit Mejahez, Tal Ades i Dan Bouhnik. "From an Artificial Neural Network to Teaching [Abstract]". W InSITE 2020: Informing Science + IT Education Conferences: Online. Informing Science Institute, 2020. http://dx.doi.org/10.28945/4557.
Pełny tekst źródłaRaporty organizacyjne na temat "Artificial neural network"
Powell, Bruce C. Artificial Neural Network Analysis System. Fort Belvoir, VA: Defense Technical Information Center, luty 2001. http://dx.doi.org/10.21236/ada392390.
Pełny tekst źródłaSgurev, Vassil. Artificial Neural Networks as a Network Flow with Capacities. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, wrzesień 2018. http://dx.doi.org/10.7546/crabs.2018.09.12.
Pełny tekst źródłaKarakowski, Joseph A., i Hai H. Phu. A Fuzzy Hypercube Artificial Neural Network Classifier. Fort Belvoir, VA: Defense Technical Information Center, październik 1998. http://dx.doi.org/10.21236/ada354805.
Pełny tekst źródłaVitela, J. E., U. R. Hanebutte i J. Reifman. An artificial neural network controller for intelligent transportation systems applications. Office of Scientific and Technical Information (OSTI), kwiecień 1996. http://dx.doi.org/10.2172/219376.
Pełny tekst źródłaVela, Daniel. Forecasting latin-american yield curves: an artificial neural network approach. Bogotá, Colombia: Banco de la República, marzec 2013. http://dx.doi.org/10.32468/be.761.
Pełny tekst źródłaMarkova, Oksana, Serhiy Semerikov i Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, maj 2018. http://dx.doi.org/10.31812/0564/2250.
Pełny tekst źródłaHsieh, Bernard B., i Charles L. Bartos. Riverflow/River Stage Prediction for Military Applications Using Artificial Neural Network Modeling. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2000. http://dx.doi.org/10.21236/ada382991.
Pełny tekst źródłaHuang, Wenrui, i Catherine Murray. Application of an Artificial Neural Network to Predict Tidal Currents in an Inlet. Fort Belvoir, VA: Defense Technical Information Center, marzec 2003. http://dx.doi.org/10.21236/ada592255.
Pełny tekst źródłaFitch, J. The radon transform for data reduction, line detection, and artificial neural network preprocessing. Office of Scientific and Technical Information (OSTI), maj 1990. http://dx.doi.org/10.2172/6874873.
Pełny tekst źródłaReifman, Jaques, i Javier Vitela. Artificial Neural Network Training with Conjugate Gradients for Diagnosing Transients in Nuclear Power Plants. Office of Scientific and Technical Information (OSTI), marzec 1993. http://dx.doi.org/10.2172/10198077.
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