Artículos de revistas sobre el tema "Radial Basis Function Neural Network Classifier"
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Mohammadi, Mahnaz, Akhil Krishna, Nalesh S. y S. K. Nandy. "A Hardware Architecture for Radial Basis Function Neural Network Classifier". IEEE Transactions on Parallel and Distributed Systems 29, n.º 3 (1 de marzo de 2018): 481–95. http://dx.doi.org/10.1109/tpds.2017.2768366.
Texto completoLee, Yuchun. "Handwritten Digit Recognition Using K Nearest-Neighbor, Radial-Basis Function, and Backpropagation Neural Networks". Neural Computation 3, n.º 3 (septiembre de 1991): 440–49. http://dx.doi.org/10.1162/neco.1991.3.3.440.
Texto completoRana, Anurag, Arjun Kumar y Ankur Sharma. "Neural Network Radial Basis Function classifier for earthquake data using aFOA". International Journal of Advanced Research 4, n.º 8 (31 de agosto de 2016): 537–40. http://dx.doi.org/10.21474/ijar01/1244.
Texto completoRADHIKA, K. R., S. V. SHEELA y G. N. SEKHAR. "OFF-LINE SIGNATURE AUTHENTICATION USING RADIAL BASIS FUNCTION". International Journal of Pattern Recognition and Artificial Intelligence 25, n.º 02 (marzo de 2011): 207–25. http://dx.doi.org/10.1142/s0218001411008580.
Texto completoManson, Graeme, Gareth Pierce, Keith Worden y Daley Chetwynd. "Classification Using Radial Basis Function Networks with Uncertain Weights". Key Engineering Materials 293-294 (septiembre de 2005): 135–42. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.135.
Texto completoAmini, Mohammad, Jalal Rezaeenour y Esmaeil Hadavandi. "A Neural Network Ensemble Classifier for Effective Intrusion Detection Using Fuzzy Clustering and Radial Basis Function Networks". International Journal on Artificial Intelligence Tools 25, n.º 02 (abril de 2016): 1550033. http://dx.doi.org/10.1142/s0218213015500335.
Texto completoHwang, Young-Sup y Sung-Yang Bang. "An Efficient Method to Construct a Radial Basis Function Neural Network Classifier". Neural Networks 10, n.º 8 (noviembre de 1997): 1495–503. http://dx.doi.org/10.1016/s0893-6080(97)00002-6.
Texto completoKumudha, P. y R. Venkatesan. "Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction". Scientific World Journal 2016 (2016): 1–20. http://dx.doi.org/10.1155/2016/2401496.
Texto completoJIAO Hongqiang, JIA Limin y JIN Yanhua. "A New Network Intrusion Detection Algorithm based on Radial Basis Function Neural Networks Classifier". INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, n.º 1 (31 de enero de 2012): 170–76. http://dx.doi.org/10.4156/aiss.vol4.issue1.22.
Texto completoSelvakumari Jeya, I. Jasmine y S. N. Deepa. "Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier". Computational and Mathematical Methods in Medicine 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/7493535.
Texto completoPogorilyi, Oleksandr, Mohammad Fard, John Davy, Mechanical and Automotive Engineering, School, Mechanical and Automotive Engineering, School, Mechanical and Automotive Engineering, School, Mechanical and Automotive Engineering, School y Mechanical and Automotive Engineering, School. "Squeak and rattle noise classification using radial basis function neural networks". Noise Control Engineering Journal 68, n.º 4 (1 de julio de 2020): 283–93. http://dx.doi.org/10.3397/1/376824.
Texto completoPark, Sang-Beom y Sung-Kwun Oh. "Design of Compensator-based Radial Basis Function Neural Network Classifier for Error Compensation". Journal of Korean Institute of Intelligent Systems 29, n.º 3 (30 de junio de 2019): 163–69. http://dx.doi.org/10.5391/jkiis.2019.29.3.163.
Texto completoYoung-Sup Hwang y Sung-Yang Bang. "Recognition of unconstrained handwritten numerals by a radial basis function neural network classifier". Pattern Recognition Letters 18, n.º 7 (julio de 1997): 657–64. http://dx.doi.org/10.1016/s0167-8655(97)00056-1.
Texto completoKokkinos, Yiannis y Konstantinos G. Margaritis. "Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier". Information Sciences 294 (febrero de 2015): 612–27. http://dx.doi.org/10.1016/j.ins.2014.08.025.
Texto completoGevaert, Wouter, Georgi Tsenov y Valeri Mladenov. "Neural networks used for speech recognition". Journal of Automatic Control 20, n.º 1 (2010): 1–7. http://dx.doi.org/10.2298/jac1001001g.
Texto completoGruszczynski, Stanislaw. "An Ensemble of Neural Classifiers and Constructivist Algorithms in the Identification of Agricultural Suitability Complexes of Soils on the Basis of Physiographic Information". ISRN Soil Science 2012 (8 de mayo de 2012): 1–9. http://dx.doi.org/10.5402/2012/610567.
Texto completoLeema, N., H. Khanna Nehemiah y A. Kannan. "Quantum-Behaved Particle Swarm Optimization Based Radial Basis Function Network for Classification of Clinical Datasets". International Journal of Operations Research and Information Systems 9, n.º 2 (abril de 2018): 32–52. http://dx.doi.org/10.4018/ijoris.2018040102.
Texto completoVinay, Kumar Jain. "A comparative analysis of neural network function: resilient back propagation algorithm (BPA) and radial basis functions (RBF) in multilingual environment". i-manager's Journal on Digital Signal Processing 10, n.º 1 (2022): 9. http://dx.doi.org/10.26634/jdp.10.1.18639.
Texto completoREYNOLDS, JAKE y LIONEL TARASSENKO. "SPOKEN LETTER RECOGNITION WITH NEURAL NETWORKS". International Journal of Neural Systems 03, n.º 03 (enero de 1992): 219–35. http://dx.doi.org/10.1142/s0129065792000188.
Texto completoFong, Li Wei, Pi Ching Lou y Kung Ting Lin. "On-Line Bayesian Classifier Design for Measurement Fusion". Advanced Materials Research 461 (febrero de 2012): 826–29. http://dx.doi.org/10.4028/www.scientific.net/amr.461.826.
Texto completoChen, Jun Ying, Jing Chen y Zeng Xi Feng. "Shape Classification Using Multiple Classifiers with Different Feature Sets". Advanced Materials Research 368-373 (octubre de 2011): 1583–87. http://dx.doi.org/10.4028/www.scientific.net/amr.368-373.1583.
Texto completoWu, Hong Qi y Xiao Bin Li. "Research on Intelligent Diagnosis Technology of Transformer Fault". Applied Mechanics and Materials 385-386 (agosto de 2013): 589–92. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.589.
Texto completoWongsathan, Rati y Pasit Pothong. "Heart Disease Classification Using Artificial Neural Networks". Applied Mechanics and Materials 781 (agosto de 2015): 624–27. http://dx.doi.org/10.4028/www.scientific.net/amm.781.624.
Texto completoUrva, Gellysa. "K-Means Clustering to Design Radial Basis Function Neural Network (RBFNN) Classifiers". JURNAL UNITEK 9, n.º 2 (9 de enero de 2017): 16–24. http://dx.doi.org/10.52072/unitek.v9i2.59.
Texto completoPATEL, PRETESH B. y TSHILIDZI MARWALA. "CALLER BEHAVIOUR CLASSIFICATION USING COMPUTATIONAL INTELLIGENCE METHODS". International Journal of Neural Systems 20, n.º 01 (febrero de 2010): 87–93. http://dx.doi.org/10.1142/s0129065710002255.
Texto completoRichard, Michael D. y Richard P. Lippmann. "Neural Network Classifiers Estimate Bayesian a posteriori Probabilities". Neural Computation 3, n.º 4 (diciembre de 1991): 461–83. http://dx.doi.org/10.1162/neco.1991.3.4.461.
Texto completoTawfiq, Nada Elya. "Chronic Kidney Disease Diagnose using Radial Basis Function Network (RBFN)". Academic Journal of Nawroz University 11, n.º 3 (25 de agosto de 2022): 289–94. http://dx.doi.org/10.25007/ajnu.v11n3a1427.
Texto completoZaborski, D. y W. Grzesiak. "Detection of difficult calvings in dairy cows using neural classifier". Archives Animal Breeding 54, n.º 5 (10 de octubre de 2011): 477–89. http://dx.doi.org/10.5194/aab-54-477-2011.
Texto completoAppavu alias Balamurugan, S. y S. Gilbert Nancy. "An Efficient Feature Selection and Classification Using Optimal Radial Basis Function Neural Network". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26, n.º 05 (28 de septiembre de 2018): 695–715. http://dx.doi.org/10.1142/s0218488518500320.
Texto completoBondarenko, Andrey y Ludmila Aleksejeva. "Methodology for Knowledge Extraction from Trained Artificial Neural Networks". Information Technology and Management Science 21 (14 de diciembre de 2018): 6–14. http://dx.doi.org/10.7250/itms-2018-0001.
Texto completoRinanto, Noorman, Mohammad Thoriq Wahyudi y Agus Khumaidi. "Radial Basis Function Neural Network sebagai Pengklasifikasi Citra Cacat Pengelasan". Rekayasa 11, n.º 2 (1 de octubre de 2018): 118. http://dx.doi.org/10.21107/rekayasa.v11i2.4418.
Texto completoJin, Zhihao, Qicheng Han, Kai Zhang y Yimin Zhang. "An intelligent fault diagnosis method of rolling bearings based on Welch power spectrum transformation with radial basis function neural network". Journal of Vibration and Control 26, n.º 9-10 (9 de enero de 2020): 629–42. http://dx.doi.org/10.1177/1077546319889859.
Texto completoMahajan, Payal y Zaheeruddin Zaheeruddin. "Analysis of back propagation and radial basis function neural networks for handover decisions in wireless communication". International Journal of Electrical and Computer Engineering (IJECE) 10, n.º 5 (1 de octubre de 2020): 4835. http://dx.doi.org/10.11591/ijece.v10i5.pp4835-4843.
Texto completoPanda, Mrutyunjaya. "Software Defect Prediction Using Hybrid Distribution Base Balance Instance Selection and Radial Basis Function Classifier". International Journal of System Dynamics Applications 8, n.º 3 (julio de 2019): 53–75. http://dx.doi.org/10.4018/ijsda.2019070103.
Texto completovan der Schaar, M., E. Delory, A. Català y M. André. "Neural network-based sperm whale click classification". Journal of the Marine Biological Association of the United Kingdom 87, n.º 1 (febrero de 2007): 35–38. http://dx.doi.org/10.1017/s0025315407054756.
Texto completoPanda, Mrutyunjaya, Aboul Ella Hassanien y Ajith Abraham. "Hybrid Data Mining Approach for Image Segmentation Based Classification". International Journal of Rough Sets and Data Analysis 3, n.º 2 (abril de 2016): 65–81. http://dx.doi.org/10.4018/ijrsda.2016040105.
Texto completoLim, King Hann, Kah Phooi Seng y Li-Minn Ang. "MIMO Lyapunov Theory-Based RBF Neural Classifier for Traffic Sign Recognition". Applied Computational Intelligence and Soft Computing 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/793176.
Texto completoHua, Chi, Li Liu, Liang Kuang y Dechang Pi. "Identification of Epileptic Electroencephalograms Signals Using an Integrated Transfer Radius Basis Function Neural Network". Journal of Medical Imaging and Health Informatics 10, n.º 7 (1 de julio de 2020): 1584–89. http://dx.doi.org/10.1166/jmihi.2020.3084.
Texto completoDash, Ch Sanjeev Kumar, Amitav Saran, Pulak Sahoo, Satchidananda Dehuri y Sung-Bae Cho. "Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database". Pattern Recognition Letters 80 (septiembre de 2016): 76–83. http://dx.doi.org/10.1016/j.patrec.2016.05.002.
Texto completoNovizon y Zulkurnain Abdul-Malek. "Neutral Networks for Fault Classification: Comparison between Feed-Forward Back-Propagation, RBF and LVQ Neural Network". Applied Mechanics and Materials 818 (enero de 2016): 96–100. http://dx.doi.org/10.4028/www.scientific.net/amm.818.96.
Texto completoXu, Zeng Bing, Jian Ping Xuan, Tie Lin Shi, Bo Wu y You Min Hu. "A Novel Fault Diagnosis Method Using PCA and ART-Similarity Classifier Based on Yu’s Norm". Key Engineering Materials 413-414 (junio de 2009): 569–74. http://dx.doi.org/10.4028/www.scientific.net/kem.413-414.569.
Texto completoZhang, Chu, Chang Wang, Fei Liu y Yong He. "Mid-Infrared Spectroscopy for Coffee Variety Identification: Comparison of Pattern Recognition Methods". Journal of Spectroscopy 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/7927286.
Texto completoEmperuman, Malathy y Srimathi Chandrasekaran. "Hybrid Continuous Density Hmm-Based Ensemble Neural Networks for Sensor Fault Detection and Classification in Wireless Sensor Network". Sensors 20, n.º 3 (29 de enero de 2020): 745. http://dx.doi.org/10.3390/s20030745.
Texto completoNg, Wing W. Y., Shichao Xu, Ting Wang, Shuai Zhang y Chris Nugent. "Radial Basis Function Neural Network with Localized Stochastic-Sensitive Autoencoder for Home-Based Activity Recognition". Sensors 20, n.º 5 (8 de marzo de 2020): 1479. http://dx.doi.org/10.3390/s20051479.
Texto completoLi, L., J. Ma y Q. Wen. "Comparison of local transfer function classifier and radial basis function neural network with and without an exhaustively defined set of classes". International Journal of Remote Sensing 30, n.º 1 (2 de diciembre de 2008): 85–96. http://dx.doi.org/10.1080/01431160802261189.
Texto completoChheepa, Tarun Kumar y Tanuj Manglani. "Power Quality Events Classification using ANN with Hilbert Transform". International Journal of Emerging Research in Management and Technology 6, n.º 6 (29 de junio de 2018): 227. http://dx.doi.org/10.23956/ijermt.v6i6.274.
Texto completoWen, Hui, Tongbin Li, Deli Chen, Jianlu Yang y Yan Che. "An Optimized Neural Network Classification Method Based on Kernel Holistic Learning and Division". Mathematical Problems in Engineering 2021 (26 de febrero de 2021): 1–16. http://dx.doi.org/10.1155/2021/8857818.
Texto completoOh, Sung-Kwun, Wook-Dong Kim y Witold Pedrycz. "Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis". International Journal of General Systems 45, n.º 4 (29 de diciembre de 2015): 434–54. http://dx.doi.org/10.1080/03081079.2015.1072523.
Texto completoAnitha, V. "An Operative Acute Brain Tumor Recognition by Jointure Inward Unswerving Probabilistic Neural Network Classifier". Journal of Medical Imaging and Health Informatics 12, n.º 2 (1 de febrero de 2022): 155–67. http://dx.doi.org/10.1166/jmihi.2022.3935.
Texto completoHADDADNIA, JAVAD, KARIM FAEZ y MAJID AHMADI. "AN EFFICIENT HUMAN FACE RECOGNITION SYSTEM USING PSEUDO ZERNIKE MOMENT INVARIANT AND RADIAL BASIS FUNCTION NEURAL NETWORK". International Journal of Pattern Recognition and Artificial Intelligence 17, n.º 01 (febrero de 2003): 41–62. http://dx.doi.org/10.1142/s0218001403002265.
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