Journal articles on the topic 'Feed Forward Neural Network (FFNN)'
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Hasbi, Yasin, Warsito Budi, and Santoso Rukun. "Feed Forward Neural Network Modeling for Rainfall Prediction." E3S Web of Conferences 73 (2018): 05017. http://dx.doi.org/10.1051/e3sconf/20187305017.
Full textAribowo, Widi, Supari Muslim, Fendi Achmad, and Aditya Chandra Hermawan. "Improving Neural Network Based on Seagull Optimization Algorithm for Controlling DC Motor." Jurnal Elektronika dan Telekomunikasi 21, no. 1 (August 31, 2021): 48. http://dx.doi.org/10.14203/jet.v21.48-54.
Full textAldakheel, Fadi, Ramish Satari, and Peter Wriggers. "Feed-Forward Neural Networks for Failure Mechanics Problems." Applied Sciences 11, no. 14 (July 14, 2021): 6483. http://dx.doi.org/10.3390/app11146483.
Full textDwi Prasetyo, Mohammad Imron, Anang Tjahjono, and Novie Ayub Windarko. "FEED FORWARD NEURAL NETWORK SEBAGAI ALGORITMA ESTIMASI STATE OF CHARGE BATERAI LITHIUM POLYMER." KLIK - KUMPULAN JURNAL ILMU KOMPUTER 7, no. 1 (March 2, 2020): 13. http://dx.doi.org/10.20527/klik.v7i1.290.
Full textS K. Dhakad, S. K. Dhakad, Dr S. C. soni Dr. S.C.soni, and Dr Pankaj Agrawal. "The feed forward neural network (FFNN) based model prediction of Molten Carbonate Fuel cells (MCFCs)." Indian Journal of Applied Research 3, no. 2 (October 1, 2011): 142–43. http://dx.doi.org/10.15373/2249555x/feb2013/49.
Full textNovickis, Rihards, Daniels Jānis Justs, Kaspars Ozols, and Modris Greitāns. "An Approach of Feed-Forward Neural Network Throughput-Optimized Implementation in FPGA." Electronics 9, no. 12 (December 18, 2020): 2193. http://dx.doi.org/10.3390/electronics9122193.
Full textZainudin, Fathin Liyana, Sharifah Saon, Abd Kadir Mahamad, Musli Nizam Yahya, Mohd Anuaruddin Ahmadon, and Shingo Yamaguchi. "Feed forward neural network application for classroom reverberation time estimation." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 1 (July 1, 2019): 346. http://dx.doi.org/10.11591/ijeecs.v15.i1.pp346-354.
Full textAribowo, Widi, Bambang Suprianto, and Joko Joko. "Improving neural network using a sine tree-seed algorithm for tuning motor DC." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (June 1, 2021): 1196. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp1196-1204.
Full textSallam, Tarek, Ahmed Attiya, and Nada El-Latif. "Neural-Network-Based Multiobjective Optimizer for Dual-Band Circularly Polarized Antenna." Applied Computational Electromagnetics Society 36, no. 3 (April 20, 2021): 252–58. http://dx.doi.org/10.47037/2020.aces.j.360304.
Full textCloud, Kirkwood A., Brian J. Reich, Christopher M. Rozoff, Stefano Alessandrini, William E. Lewis, and Luca Delle Monache. "A Feed Forward Neural Network Based on Model Output Statistics for Short-Term Hurricane Intensity Prediction." Weather and Forecasting 34, no. 4 (July 24, 2019): 985–97. http://dx.doi.org/10.1175/waf-d-18-0173.1.
Full textJournal, Baghdad Science. "On Training Of Feed Forward Neural Networks." Baghdad Science Journal 4, no. 1 (March 4, 2007): 158–64. http://dx.doi.org/10.21123/bsj.4.1.158-164.
Full textRaju, Paladugu, Veera Malleswara Rao, and Bhima Prabhakara Rao. "Grey Wolf Optimization-Based Artificial Neural Network for Classification of Kidney Images." Journal of Circuits, Systems and Computers 27, no. 14 (August 23, 2018): 1850231. http://dx.doi.org/10.1142/s0218126618502316.
Full textFuangkhon, Piyabute. "Parallel Distance-Based Instance Selection Algorithm for Feed-Forward Neural Network." Journal of Intelligent Systems 26, no. 2 (April 1, 2017): 335–58. http://dx.doi.org/10.1515/jisys-2015-0039.
Full textUtama, Faisal Fikri, Budi Warsito, and Sugito Sugito. "MODEL FEED FORWARD NEURAL NETWORK (FFNN) DENGAN ALGORITMA PARTICLE SWARM SEBAGAI OPTIMASI BOBOT (Studi Kasus : Harga Daging Sapi dari Bank Dunia Periode Januari 2007 – Desember 2018)." Jurnal Gaussian 8, no. 1 (February 28, 2019): 117–26. http://dx.doi.org/10.14710/j.gauss.v8i1.26626.
Full textEdupuganti, Sirisha, Ravichandra Potumarthi, Thadikamala Sathish, and Lakshmi Narasu Mangamoori. "Role of Feed Forward Neural Networks Coupled with Genetic Algorithm in Capitalizing of Intracellular Alpha-Galactosidase Production byAcinetobactersp." BioMed Research International 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/361732.
Full textGerek, Ibrahim Halil, Ercan Erdis, Gulgun Mistikoglu, and Mumtaz Usmen. "MODELLING MASONRY CREW PRODUCTIVITY USING TWO ARTIFICIAL NEURAL NETWORK TECHNIQUES." Journal of Civil Engineering and Management 21, no. 2 (October 22, 2014): 231–38. http://dx.doi.org/10.3846/13923730.2013.802741.
Full textSantoso, H., and D. Murdianto. "Analisis Pengenalan Bendera Negara Rumpun Melayu Menggunakan Metode Feed Forward Neural Network." Jurnal Teknologi dan Informasi 10, no. 2 (September 1, 2020): 144–52. http://dx.doi.org/10.34010/jati.v10i2.2702.
Full textNajdet Nasret Coran, Ali, Prof Dr Hayri Sever, and Dr Murad Ahmed Mohammed Amin. "Acoustic data classification using random forest algorithm and feed forward neural network." International Journal of Engineering & Technology 9, no. 2 (July 1, 2020): 582. http://dx.doi.org/10.14419/ijet.v9i2.30815.
Full textNaganathan, G. S., and C. K. Babulal. "Voltage Stability Margin Assessment Using Multilayer Feed Forward Neural Network." Applied Mechanics and Materials 573 (June 2014): 661–67. http://dx.doi.org/10.4028/www.scientific.net/amm.573.661.
Full textAwadalla, M., H. Yousef, A. Al-Shidani, and A. Al-Hinai. "Artificial Intelligent techniques for Flow Bottom Hole Pressure Prediction." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, no. 12 (September 23, 2016): 7263–83. http://dx.doi.org/10.24297/ijct.v15i12.4354.
Full textSondhiya, D. K., S. K. Kasde, Dishansh Raj Upwar, and A. K. Gwal. "Identification of Very Low Frequency (VLF) Whistlers transients using Feed Forward Neural Network (FFNN)." IOSR Journal of Applied Physics 09, no. 04 (July 2017): 23–29. http://dx.doi.org/10.9790/4861-0904012329.
Full textBhandarkar, Tanvi, Vardaan K, Nikhil Satish, S. Sridhar, R. Sivakumar, and Snehasish Ghosh. "Earthquake trend prediction using long short-term memory RNN." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 2 (April 1, 2019): 1304. http://dx.doi.org/10.11591/ijece.v9i2.pp1304-1312.
Full textKhatib, Tamer, Azah Mohamed, K. Sopian, and M. Mahmoud. "Assessment of Artificial Neural Networks for Hourly Solar Radiation Prediction." International Journal of Photoenergy 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/946890.
Full textBezabeh, Belete Biazen, and Abrham Debasu Mengistu. "The effects of multiple layers feed-forward neural network transfer function in digital based Ethiopian soil classification and moisture prediction." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (August 1, 2020): 4073. http://dx.doi.org/10.11591/ijece.v10i4.pp4073-4079.
Full textAkşahin, Mehmet, Aykut Erdamar, Hikmet Fırat, Sadık Ardıç, and Osman Eroğul. "OBSTRUCTIVE SLEEP APNEA CLASSIFICATION WITH ARTIFICIAL NEURAL NETWORK BASED ON TWO SYNCHRONIC HRV SERIES." Biomedical Engineering: Applications, Basis and Communications 27, no. 02 (March 17, 2015): 1550011. http://dx.doi.org/10.4015/s1016237215500118.
Full textAnsari, Saniya, and Udaysingh Sutar. "Devanagari Handwritten Character Recognition using Hybrid Features Extraction and Feed Forward Neural Network Classifier (FFNN)." International Journal of Computer Applications 129, no. 7 (November 17, 2015): 22–27. http://dx.doi.org/10.5120/ijca2015906859.
Full textHanafaie, Affan, Sugito Sugito, and Sudarno Sudarno. "PERAMALAN MENGGUNAKAN MODEL FEED FORWARD NEURAL NETWORK DENGAN ALGORITMA ADAPTIVE SIMULATED ANNEALING (Studi kasus: Harga minyak mentah dunia yang dipublikasikan oleh OPEC)." Jurnal Gaussian 7, no. 4 (November 30, 2018): 373–84. http://dx.doi.org/10.14710/j.gauss.v7i4.28865.
Full textWigati, Ekky Rosita Singgih, Budi Warsito, and Rita Rahmawati. "PEMODELAN JARINGAN SYARAF TIRUAN DENGAN CASCADE FORWARD BACKPROPAGATION PADA KURS RUPIAH TERHADAP DOLAR AMERIKA SERIKAT." Jurnal Gaussian 7, no. 1 (February 28, 2018): 64–72. http://dx.doi.org/10.14710/j.gauss.v7i1.26636.
Full textC, Narmatha. "A New Neural Network-Based Intrusion Detection System for Detecting Malicious Nodes in WSNs." Journal of Computational Science and Intelligent Technologies 1, no. 3 (2020): 1–8. http://dx.doi.org/10.53409/mnaa.jcsit20201301.
Full textEt al., Al-Saif. "Solving Mixed Volterra - Fredholm Integral Equation (MVFIE) by Designing Neural Network." Baghdad Science Journal 16, no. 1 (March 11, 2019): 0116. http://dx.doi.org/10.21123/bsj.2019.16.1.0116.
Full textBoujoudar, Younes, Hassan Elmoussaoui, and Tijani Lamhamdi. "Lithium-Ion batteries modeling and state of charge estimation using Artificial Neural Network." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (October 1, 2019): 3415. http://dx.doi.org/10.11591/ijece.v9i5.pp3415-3422.
Full textGaya, Muhammad Sani, Norhaliza Abdul Wahab, Yahya M. Sam, Azna N. Anuar, and Sharatul Izah Samsuddin. "ANFIS Modelling of Carbon Removal in Domestic Wastewater Treatment Plant." Applied Mechanics and Materials 372 (August 2013): 597–601. http://dx.doi.org/10.4028/www.scientific.net/amm.372.597.
Full textDada, Emmanuel Gbenga, Hurcha Joseph Yakubu, and David Opeoluwa Oyewola. "Artificial Neural Network Models for Rainfall Prediction." European Journal of Electrical Engineering and Computer Science 5, no. 2 (April 2, 2021): 30–35. http://dx.doi.org/10.24018/ejece.2021.5.2.313.
Full textJayasankar, T., and J. Arputha Vijayaselvi. "Prediction of Syllable Duration Using Structure Optimised Cuckoo Search Neural Network (SOCNN) for Text-To-Speech." Journal of Computational and Theoretical Nanoscience 13, no. 10 (October 1, 2016): 7538–44. http://dx.doi.org/10.1166/jctn.2016.5750.
Full textYasin, Hasbi, Budi Warsito, Rukun Santoso, and Arief Rachman Hakim. "Forecasting of Rainfall in Central Java using Hybrid GSTAR-NN-PSO Model." E3S Web of Conferences 125 (2019): 23015. http://dx.doi.org/10.1051/e3sconf/201912523015.
Full textKişi, Özgür. "River flow forecasting and estimation using different artificial neural network techniques." Hydrology Research 39, no. 1 (February 1, 2008): 27–40. http://dx.doi.org/10.2166/nh.2008.026.
Full textKumar, Keshav, Vivekanand Singh, and Thendiyath Roshni. "Efficacy of hybrid neural networks in statistical downscaling of precipitation of the Bagmati River basin." Journal of Water and Climate Change 11, no. 4 (July 26, 2019): 1302–22. http://dx.doi.org/10.2166/wcc.2019.259.
Full textJayadianti, 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.
Full textAwadalla, Medhat, and Hassan Yousef. "Neural Networks for Flow Bottom Hole Pressure Prediction." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (August 1, 2016): 1839. http://dx.doi.org/10.11591/ijece.v6i4.10774.
Full textAwadalla, Medhat, and Hassan Yousef. "Neural Networks for Flow Bottom Hole Pressure Prediction." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 4 (August 1, 2016): 1839. http://dx.doi.org/10.11591/ijece.v6i4.pp1839-1856.
Full textMapuwei, Tichaona W., Oliver Bodhlyera, and Henry Mwambi. "Univariate Time Series Analysis of Short-Term Forecasting Horizons Using Artificial Neural Networks: The Case of Public Ambulance Emergency Preparedness." Journal of Applied Mathematics 2020 (May 1, 2020): 1–11. http://dx.doi.org/10.1155/2020/2408698.
Full textVerma, Hari Om, and Naba Kumar Peyada. "Aircraft parameter estimation using ELM network." Aircraft Engineering and Aerospace Technology 92, no. 6 (May 1, 2020): 895–907. http://dx.doi.org/10.1108/aeat-01-2019-0003.
Full textTheodoropoulos, Panayiotis, Christos C. Spandonidis, Nikos Themelis, Christos Giordamlis, and Spilios Fassois. "Evaluation of Different Deep-Learning Models for the Prediction of a Ship’s Propulsion Power." Journal of Marine Science and Engineering 9, no. 2 (January 24, 2021): 116. http://dx.doi.org/10.3390/jmse9020116.
Full textKaveh, M., and R. A. Chayjan. "Mathematical and neural network modelling of terebinth fruit under fluidized bed drying." Research in Agricultural Engineering 61, No. 2 (June 2, 2016): 55–65. http://dx.doi.org/10.17221/56/2013-rae.
Full textTelchy, Fatin. "Intelligent Feedback Scheduling of Control Tasks." Iraqi Journal for Electrical and Electronic Engineering 10, no. 2 (December 1, 2014): 64–79. http://dx.doi.org/10.37917/ijeee.10.2.2.
Full textFirat, M. "Artificial Intelligence Techniques for river flow forecasting in the Seyhan River Catchment, Turkey." Hydrology and Earth System Sciences Discussions 4, no. 3 (June 6, 2007): 1369–406. http://dx.doi.org/10.5194/hessd-4-1369-2007.
Full textKote, A. S., and D. V. Wadkar. "Modeling of Chlorine and Coagulant Dose in a Water Treatment Plant by Artificial Neural Networks." Engineering, Technology & Applied Science Research 9, no. 3 (June 8, 2019): 4176–81. http://dx.doi.org/10.48084/etasr.2725.
Full textOladele, Adewole, Vera Vokolkova, and Jerome Egwurube. "Transportation Planning through Pavement Performance Prediction Modeling for Botswana Gravel loss Condition." Applied Mechanics and Materials 256-259 (December 2012): 2976–82. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2976.
Full textZaidan, Martha A., Ola Surakhi, Pak Lun Fung, and Tareq Hussein. "Sensitivity Analysis for Predicting Sub-Micron Aerosol Concentrations Based on Meteorological Parameters." Sensors 20, no. 10 (May 19, 2020): 2876. http://dx.doi.org/10.3390/s20102876.
Full textBabu, Sangita. "A Hybrid Approach for Intrusion Detection using OPSO and Hybridization of Feed Forward Neural Network (FFNN) with Probabilistic Neural Network (PNN)- HFFPNN Classifier." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 1 (February 15, 2020): 206–10. http://dx.doi.org/10.30534/ijatcse/2020/31912020.
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