Zeitschriftenartikel zum Thema „Neural networks (Computer science)“
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Cottrell, G. W. „COMPUTER SCIENCE: New Life for Neural Networks“. Science 313, Nr. 5786 (28.07.2006): 454–55. http://dx.doi.org/10.1126/science.1129813.
Li, Xiao Guang. „Research on the Development and Applications of Artificial Neural Networks“. Applied Mechanics and Materials 556-562 (Mai 2014): 6011–14. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6011.
Schöneburg, E. „Neural networks hunt computer viruses“. Neurocomputing 2, Nr. 5-6 (Juli 1991): 243–48. http://dx.doi.org/10.1016/0925-2312(91)90027-9.
Turega, M. A. „Neural Networks“. Computer Journal 35, Nr. 3 (01.06.1992): 290. http://dx.doi.org/10.1093/comjnl/35.3.290.
Widrow, Bernard, David E. Rumelhart und Michael A. Lehr. „Neural networks“. Communications of the ACM 37, Nr. 3 (März 1994): 93–105. http://dx.doi.org/10.1145/175247.175257.
Cavallaro, Lucia, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara und Antonio Liotta. „Artificial neural networks training acceleration through network science strategies“. Soft Computing 24, Nr. 23 (09.09.2020): 17787–95. http://dx.doi.org/10.1007/s00500-020-05302-y.
Kumar, G. Prem, und P. Venkataram. „Network restoration using recurrent neural networks“. International Journal of Network Management 8, Nr. 5 (September 1998): 264–73. http://dx.doi.org/10.1002/(sici)1099-1190(199809/10)8:5<264::aid-nem298>3.0.co;2-o.
Yen, Gary G., und Haiming Lu. „Hierarchical Rank Density Genetic Algorithm for Radial-Basis Function Neural Network Design“. International Journal of Computational Intelligence and Applications 03, Nr. 03 (September 2003): 213–32. http://dx.doi.org/10.1142/s1469026803000975.
SIEGELMANN, HAVA T. „ON NIL: THE SOFTWARE CONSTRUCTOR OF NEURAL NETWORKS“. Parallel Processing Letters 06, Nr. 04 (Dezember 1996): 575–82. http://dx.doi.org/10.1142/s0129626496000510.
Cerf, Vinton G. „On neural networks“. Communications of the ACM 61, Nr. 7 (25.06.2018): 7. http://dx.doi.org/10.1145/3224195.
Wong, Eugene. „Stochastic neural networks“. Algorithmica 6, Nr. 1-6 (Juni 1991): 466–78. http://dx.doi.org/10.1007/bf01759054.
Yashchenko, V. A. „Multidimensional neural growing networks and computer intelligence“. Cybernetics and Systems Analysis 30, Nr. 4 (Juli 1994): 505–17. http://dx.doi.org/10.1007/bf02366560.
Xu, Xianfeng, Xinwei Wang, Weilong Luo, Hao Wang und Yuting Sun. „Efficient Computer-Generated Holography Based on Mixed Linear Convolutional Neural Networks“. Applied Sciences 12, Nr. 9 (21.04.2022): 4177. http://dx.doi.org/10.3390/app12094177.
Chartuni, Andrés, und José Márquez. „Multi-Classifier of DDoS Attacks in Computer Networks Built on Neural Networks“. Applied Sciences 11, Nr. 22 (11.11.2021): 10609. http://dx.doi.org/10.3390/app112210609.
Et. al., K. P. Moholkar,. „Visual Question Answering using Convolutional Neural Networks“. Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, Nr. 1S (11.04.2021): 170–75. http://dx.doi.org/10.17762/turcomat.v12i1s.1602.
Zaharakis, Ioannis D., und Achilles D. Kameas. „Modeling spiking neural networks“. Theoretical Computer Science 395, Nr. 1 (April 2008): 57–76. http://dx.doi.org/10.1016/j.tcs.2007.11.002.
Saiful, Muhammad, Lalu Muhammad Samsu und Fathurrahman Fathurrahman. „Sistem Deteksi Infeksi COVID-19 Pada Hasil X-Ray Rontgen menggunakan Algoritma Convolutional Neural Network (CNN)“. Infotek : Jurnal Informatika dan Teknologi 4, Nr. 2 (31.07.2021): 217–27. http://dx.doi.org/10.29408/jit.v4i2.3582.
HUANG, WEI, KIN KEUNG LAI, YOSHITERU NAKAMORI, SHOUYANG WANG und LEAN YU. „NEURAL NETWORKS IN FINANCE AND ECONOMICS FORECASTING“. International Journal of Information Technology & Decision Making 06, Nr. 01 (März 2007): 113–40. http://dx.doi.org/10.1142/s021962200700237x.
Reddy*, M. Venkata Krishna, und Pradeep S. „Envision Foundational of Convolution Neural Network“. International Journal of Innovative Technology and Exploring Engineering 10, Nr. 6 (30.04.2021): 54–60. http://dx.doi.org/10.35940/ijitee.f8804.0410621.
Fogel, D. B., L. J. Fogel und V. W. Porto. „Evolving neural networks“. Biological Cybernetics 63, Nr. 6 (Oktober 1990): 487–93. http://dx.doi.org/10.1007/bf00199581.
Kovačič, M. „Markovian neural networks“. Biological Cybernetics 64, Nr. 4 (Februar 1991): 337–42. http://dx.doi.org/10.1007/bf00199598.
Kononenko, I. „Bayesian neural networks“. Biological Cybernetics 61, Nr. 5 (September 1989): 361–70. http://dx.doi.org/10.1007/bf00200801.
Armenta, Marco, und Pierre-Marc Jodoin. „The Representation Theory of Neural Networks“. Mathematics 9, Nr. 24 (13.12.2021): 3216. http://dx.doi.org/10.3390/math9243216.
Zhou, Zhi-Hua. „Rule extraction: Using neural networks or for neural networks?“ Journal of Computer Science and Technology 19, Nr. 2 (März 2004): 249–53. http://dx.doi.org/10.1007/bf02944803.
Tridgell, Stephen, Martin Kumm, Martin Hardieck, David Boland, Duncan Moss, Peter Zipf und Philip H. W. Leong. „Unrolling Ternary Neural Networks“. ACM Transactions on Reconfigurable Technology and Systems 12, Nr. 4 (27.11.2019): 1–23. http://dx.doi.org/10.1145/3359983.
Asakawa, Kazuo, und Hideyuki Takagi. „Neural networks in Japan“. Communications of the ACM 37, Nr. 3 (März 1994): 106–12. http://dx.doi.org/10.1145/175247.175258.
Guidotti, Dario. „Verification and Repair of Neural Networks“. Proceedings of the AAAI Conference on Artificial Intelligence 35, Nr. 18 (18.05.2021): 15714–15. http://dx.doi.org/10.1609/aaai.v35i18.17854.
Ma, Gang-Feng, Xu-Hua Yang, Yue Tong und Yanbo Zhou. „Graph neural networks for preference social recommendation“. PeerJ Computer Science 9 (19.05.2023): e1393. http://dx.doi.org/10.7717/peerj-cs.1393.
Hou, Xiaohui, Lei Huang und Xuefei Li. „An Effective Method to Evaluate the Scientific Research Projects“. Foundations of Computing and Decision Sciences 39, Nr. 3 (01.07.2014): 175–88. http://dx.doi.org/10.2478/fcds-2014-0010.
HAYASHI, YOICHI. „NEURAL NETWORK RULE EXTRACTION BY A NEW ENSEMBLE CONCEPT AND ITS THEORETICAL AND HISTORICAL BACKGROUND: A REVIEW“. International Journal of Computational Intelligence and Applications 12, Nr. 04 (Dezember 2013): 1340006. http://dx.doi.org/10.1142/s1469026813400063.
Purushothaman, G., und N. B. Karayiannis. „Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks“. IEEE Transactions on Neural Networks 8, Nr. 3 (Mai 1997): 679–93. http://dx.doi.org/10.1109/72.572106.
Kovalnogov, Vladislav N., Ruslan V. Fedorov, Denis A. Demidov, Malyoshina A. Malyoshina, Theodore E. Simos, Spyridon D. Mourtas und Vasilios N. Katsikis. „Computing quaternion matrix pseudoinverse with zeroing neural networks“. AIMS Mathematics 8, Nr. 10 (2023): 22875–95. http://dx.doi.org/10.3934/math.20231164.
Aiken, William, Hyoungshick Kim, Simon Woo und Jungwoo Ryoo. „Neural network laundering: Removing black-box backdoor watermarks from deep neural networks“. Computers & Security 106 (Juli 2021): 102277. http://dx.doi.org/10.1016/j.cose.2021.102277.
Siegelmann, Hava T., und Eduardo D. Sontag. „Analog computation via neural networks“. Theoretical Computer Science 131, Nr. 2 (September 1994): 331–60. http://dx.doi.org/10.1016/0304-3975(94)90178-3.
Uteuliyeva, Malika, Abylay Zhumekenov, Rustem Takhanov, Zhenisbek Assylbekov, Alejandro J. Castro und Olzhas Kabdolov. „Fourier neural networks: A comparative study“. Intelligent Data Analysis 24, Nr. 5 (30.09.2020): 1107–20. http://dx.doi.org/10.3233/ida-195050.
Kramer, M. A. „Autoassociative neural networks“. Computers & Chemical Engineering 16, Nr. 4 (April 1992): 313–28. http://dx.doi.org/10.1016/0098-1354(92)80051-a.
Jiang, Yiming, Chenguang Yang, Shi-lu Dai und Beibei Ren. „Deterministic learning enhanced neutral network control of unmanned helicopter“. International Journal of Advanced Robotic Systems 13, Nr. 6 (28.11.2016): 172988141667111. http://dx.doi.org/10.1177/1729881416671118.
Neruda, M., und R. Neruda. „To contemplate quantitative and qualitative water features by neural networks method“. Plant, Soil and Environment 48, No. 7 (21.12.2011): 322–26. http://dx.doi.org/10.17221/4375-pse.
Marton, Sascha, Stefan Lüdtke und Christian Bartelt. „Explanations for Neural Networks by Neural Networks“. Applied Sciences 12, Nr. 3 (18.01.2022): 980. http://dx.doi.org/10.3390/app12030980.
Gafurov, Artur M., und Oleg P. Yermolayev. „Automatic Gully Detection: Neural Networks and Computer Vision“. Remote Sensing 12, Nr. 11 (28.05.2020): 1743. http://dx.doi.org/10.3390/rs12111743.
Hansen, James V., und Ray D. Nelson. „Time-series analysis with neural networks and ARIMA-neural network hybrids“. Journal of Experimental & Theoretical Artificial Intelligence 15, Nr. 3 (Januar 2003): 315–30. http://dx.doi.org/10.1080/0952813031000116488.
Kamgar-Parsi, Behzad, J. A. Gualtieri, J. E. Devaney und Behrooz Kamgar-Parsi. „Clustering with neural networks“. Biological Cybernetics 63, Nr. 3 (Juli 1990): 201–8. http://dx.doi.org/10.1007/bf00195859.
Mahul, Antoine, und Alex Aussem. „Distributed Neural Networks for Quality of Service Estimation in Communication Networks“. International Journal of Computational Intelligence and Applications 03, Nr. 03 (September 2003): 297–308. http://dx.doi.org/10.1142/s1469026803000999.
MAINZER, KLAUS. „CELLULAR NEURAL NETWORKS AND VISUAL COMPUTING“. International Journal of Bifurcation and Chaos 13, Nr. 01 (Januar 2003): 1–6. http://dx.doi.org/10.1142/s0218127403006534.
Humphries, Mark D. „Dynamical networks: Finding, measuring, and tracking neural population activity using network science“. Network Neuroscience 1, Nr. 4 (Dezember 2017): 324–38. http://dx.doi.org/10.1162/netn_a_00020.
Redwan, Sadi M., Md Rashed-Al-Mahfuz und Md Ekramul Hamid. „Recognizing Command Words using Deep Recurrent Neural Network for Both Acoustic and Throat Speech“. European Journal of Information Technologies and Computer Science 3, Nr. 2 (22.05.2023): 7–13. http://dx.doi.org/10.24018/compute.2023.3.2.88.
Seiffert, Udo. „Artificial neural networks on massively parallel computer hardware“. Neurocomputing 57 (März 2004): 135–50. http://dx.doi.org/10.1016/j.neucom.2004.01.011.
Zainel, Hanan, und Cemal Koçak. „LAN Intrusion Detection Using Convolutional Neural Networks“. Applied Sciences 12, Nr. 13 (30.06.2022): 6645. http://dx.doi.org/10.3390/app12136645.
Gupta, Rajiv. „Research Paper on Artificial Intelligence“. International Journal of Engineering and Computer Science 12, Nr. 02 (18.02.2023): 25654–0656. http://dx.doi.org/10.18535/ijecs/v12i02.4720.
Dolgobrodov, S. D., R. Marshall, P. Moore, R. Bittern, R. J. C. Steele und A. Cuschieri. „e-Science and artificial neural networks in cancer management“. Concurrency and Computation: Practice and Experience 19, Nr. 2 (2006): 251–63. http://dx.doi.org/10.1002/cpe.1045.