Academic literature on the topic 'Seasonal Artificial Neural Network'
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Journal articles on the topic "Seasonal Artificial Neural Network":
Fallah-Gha, G. A., M. Mousavi-Ba, and M. Habibi-Nok. "Seasonal Rainfall Forecasting Using Artificial Neural Network." Journal of Applied Sciences 9, no. 6 (March 1, 2009): 1098–105. http://dx.doi.org/10.3923/jas.2009.1098.1105.
Tran Anh, Duong, Thanh Duc Dang, and Song Pham Van. "Improved Rainfall Prediction Using Combined Pre-Processing Methods and Feed-Forward Neural Networks." J 2, no. 1 (February 14, 2019): 65–83. http://dx.doi.org/10.3390/j2010006.
Mzyece, Lillian, Mayumbo Nyirenda, Monde K. Kabemba, and Grey Chibawe. "Forecasting Seasonal Rainfall in Zambia – An Artificial Neural Network Approach." Zambia ICT Journal 2, no. 1 (June 29, 2018): 16–24. http://dx.doi.org/10.33260/zictjournal.v2i1.46.
Baldigara, Tea. "Modeliranje i prognoziranje broja zaposlenih u turizmu i hotelskoj industriji u Republici Hrvatskoj primjenom modela umjetnih neuronskih mreža." Oeconomica Jadertina 10, no. 2 (December 17, 2020): 3–20. http://dx.doi.org/10.15291/oec.3162.
S, Benkachcha, Benhra J, and El Hassani. H. "Seasonal Time Series Forecasting Models based on Artificial Neural Network." International Journal of Computer Applications 116, no. 20 (April 22, 2015): 9–14. http://dx.doi.org/10.5120/20451-2805.
Oscar CLAVERIA, Oscar CLAVERIA, Enric MONTE, and Salvador TORRA. "DATA PRE-PROCESSING FOR NEURAL NETWORK-BASED FORECASTING: DOES IT REALLY MATTER?" Technological and Economic Development of Economy 23, no. 5 (November 4, 2015): 709–25. http://dx.doi.org/10.3846/20294913.2015.1070772.
Rezaei, Mohsen, Ahmad Ali Akbari Motlaq, Ali Rezvani Mahmouei, and Seyed Hojjatollah Mousavi. "River Flow Forecasting using artificial neural network (Shoor Ghaen)." Ciência e Natura 37 (December 21, 2015): 207. http://dx.doi.org/10.5902/2179460x20849.
Jayadianti, Herlina, Tedy Agung Cahyadi, Nur Ali Amri, and Muhammad Fathurrahman Pitayandanu. "METODE KOMPARASI ARTIFICIAL NEURAL NETWORK PADA PREDIKSI CURAH HUJAN - LITERATURE REVIEW." Jurnal Tekno Insentif 14, no. 2 (August 27, 2020): 48–53. http://dx.doi.org/10.36787/jti.v14i2.150.
Gregorić, Maja, and Tea Baldigara. "Artificial neural networks in modelling seasonal tourism demand - case study of Croatia." Zbornik Veleučilišta u Rijeci 8, no. 1 (2020): 19–39. http://dx.doi.org/10.31784/zvr.8.1.2.
Sulandari, Winita, Subanar Subanar, Suhartono Suhartono, and Herni Utami. "Forecasting electricity load demand using hybrid exponential smoothing-artificial neural network model." International Journal of Advances in Intelligent Informatics 2, no. 3 (November 30, 2016): 131. http://dx.doi.org/10.26555/ijain.v2i3.69.
Dissertations / Theses on the topic "Seasonal Artificial Neural Network":
Widing, Härje. "Business analytics tools for data collection and analysis of COVID-19." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176514.
BRUCE, WILLIAM, and 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.
Denna 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.
Leija, 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.
Alkharobi, Talal M. "Secret sharing using artificial neural network." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1223.
Zhao, 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.
Ng, Justin. "Artificial Neural Network-Based Robotic Control." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1846.
Khazanova, Yekaterina. "Experiments with Neural Network Libraries." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1527607591612278.
Brunger, Clifford A. "Artificial neural network modeling of damaged aircraft." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA283227.
Tang, Chuan Zhang. "Artificial neural network models for digital implementation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq30298.pdf.
Tupas, Ronald-Ray Tiñana. "Artificial neural network modelling of filtration performance." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0011/MQ59890.pdf.
Books on the topic "Seasonal Artificial Neural Network":
Sahai, A. K. Reduction of AGCM systematic error by artificial neural network: A new approach for dynamical seasonal prediction of Indian summer monsoon rainfall. Pune: [Indian Institute of Tropical Meteorology], 2000.
Shanmuganathan, Subana, and Sandhya Samarasinghe, eds. Artificial Neural Network Modelling. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28495-8.
S, Mohan. Artificial neural network modelling. Roorkee: Indian National Committee on Hydrology, 2007.
Zeidenberg, Matthew. Neural network models in artificial intelligence. New York: E. Horwood, 1990.
Roberts, S. G. The evolution of artificial neural network structures. Manchester: UMIST, 1997.
Bisi, Manjubala, and 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.
Rzempoluck, Edward J. Neural Network Data Analysis Using SimulnetTM. New York, NY: Springer New York, 1998.
Kattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.
Kattan, Ali. Artificial neural network training and software implementation techniques. Hauppauge, N.Y: Nova Science Publishers, 2011.
North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Artificial neural network approaches in guidance and control. Neuilly sur Seine, France: AGARD, 1991.
Book chapters on the topic "Seasonal Artificial Neural Network":
Sharma, Arjun, Anirban Mitra, Sumit Sharma, and Sudip Roy. "Estimation of Air Quality Index from Seasonal Trends Using Deep Neural Network." In Artificial Neural Networks and Machine Learning – ICANN 2018, 511–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01424-7_50.
Dudek, Grzegorz. "Forecasting Time Series with Multiple Seasonal Cycles Using Neural Networks with Local Learning." In Artificial Intelligence and Soft Computing, 52–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38658-9_5.
Amoo, Oseni Taiwo, Hammed Olabode Ojugbele, Abdultaofeek Abayomi, and Pushpendra Kumar Singh. "Hydrological Dynamics Assessment of Basin Upstream–Downstream Linkages Under Seasonal Climate Variability." In African Handbook of Climate Change Adaptation, 2005–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_116.
Shekhar, Shashi, and Hui Xiong. "Artificial Neural Network." In Encyclopedia of GIS, 31. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_72.
Majumder, Mrinmoy, and Apu K. Saha. "Artificial Neural Network." In Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques, 13–16. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-308-8_4.
Khazaii, Javad. "Artificial Neural Network." In Advanced Decision Making for HVAC Engineers, 145–55. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33328-1_14.
Asadollahfardi, Gholamreza. "Artificial Neural Network." In SpringerBriefs in Water Science and Technology, 77–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44725-3_5.
Daniel, Gómez González. "Artificial Neural Network." In Encyclopedia of Sciences and Religions, 143. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-8265-8_200980.
Okwu, Modestus O., and Lagouge K. Tartibu. "Artificial Neural Network." In Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications, 133–45. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61111-8_14.
Attew, David. "Artificial Neural Network." In Perspectives in Neural Computing, 157–66. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0151-2_18.
Conference papers on the topic "Seasonal Artificial Neural Network":
Prochazka, A. "Neural networks and seasonal time-series prediction." In Fifth International Conference on Artificial Neural Networks. IEE, 1997. http://dx.doi.org/10.1049/cp:19970698.
Khandelwal, Ina, Udit Satija, and Ratnadip Adhikari. "Forecasting seasonal time series with Functional Link Artificial Neural Network." In 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2015. http://dx.doi.org/10.1109/spin.2015.7095387.
Meng, Bin, Xiao-li Xi, and Jie Li. "ASF seasonal correction of Loran-C based on artificial neural network." In NAECON 2009 - IEEE National Aerospace and Electronics Conference. IEEE, 2009. http://dx.doi.org/10.1109/naecon.2009.5426607.
Asimakopoulou, Fani E., Georgios J. Tsekouras, Ioannis F. Gonos, and Ioannis A. Stathopulos. "Artificial neural network approach on the seasonal variation of soil resistance." In 2011 7th Asia-Pacific International Conference on Lightning (APL). IEEE, 2011. http://dx.doi.org/10.1109/apl.2011.6110235.
Chen, Pudi, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, and Xueqi Cheng. "NeuCast: Seasonal Neural Forecast of Power Grid Time Series." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/460.
S. F. Ferraz, Rafael, Renato S. F. Ferraz, Lucas F. S. Azeredo, and Benemar A. de Souza. "Data Preprocessing for Load Forecasting using Artificial Neural Network." In Simpósio Brasileiro de Sistemas Elétricos - SBSE2020. sbabra, 2020. http://dx.doi.org/10.48011/sbse.v1i1.2459.
Saberian, Fatemeh, Ali Zamani, Mohammad Mahdi Gooya, Payman Hemmati, Mahdi Aliyari Shoorehdeli, and Mohammad Teshnehlab. "Prediction of seasonal influenza epidemics in Tehran using artificial neural networks." In 2014 22nd Iranian Conference on Electrical Engineering (ICEE). IEEE, 2014. http://dx.doi.org/10.1109/iraniancee.2014.6999855.
Chen, Yuxuan, and Patrick Phelan. "Predicting Peak Energy Demand for an Office Building Using Artificial Intelligence (AI) Approaches." In ASME 2021 Power Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/power2021-64492.
"Capability of Artificial Neural Networks for predicting long-term seasonal rainfalls in east Australia." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.l8.mekanik2.
Ahmad, A. S. "Estimation of salt contamination level on the high voltage insulators' surfaces during rainy season using artificial neural network." In Fifth International Conference on Power System Management and Control. IEE, 2002. http://dx.doi.org/10.1049/cp:20020052.
Reports on the topic "Seasonal Artificial Neural Network":
Powell, Bruce C. Artificial Neural Network Analysis System. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada392390.
Karakowski, Joseph A., and Hai H. Phu. A Fuzzy Hypercube Artificial Neural Network Classifier. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada354805.
Sgurev, Vassil. Artificial Neural Networks as a Network Flow with Capacities. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, September 2018. http://dx.doi.org/10.7546/crabs.2018.09.12.
Vitela, J. E., U. R. Hanebutte, and J. Reifman. An artificial neural network controller for intelligent transportation systems applications. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/219376.
Vela, Daniel. Forecasting latin-american yield curves: an artificial neural network approach. Bogotá, Colombia: Banco de la República, March 2013. http://dx.doi.org/10.32468/be.761.
Hsieh, Bernard B., and Charles L. Bartos. Riverflow/River Stage Prediction for Military Applications Using Artificial Neural Network Modeling. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada382991.
Huang, Wenrui, and Catherine Murray. Application of an Artificial Neural Network to Predict Tidal Currents in an Inlet. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada592255.
Fitch, J. The radon transform for data reduction, line detection, and artificial neural network preprocessing. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6874873.
Reifman, Jaques, and Javier Vitela. Artificial Neural Network Training with Conjugate Gradients for Diagnosing Transients in Nuclear Power Plants. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/10198077.
Lee, Dongwon. Application of artificial neural network to prompt gamma neutron activation analysis for chemical warfare agents identification. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1565918.