60 citations to 10.1162/NECO_a_00849 (Crossref Cited-By Service)
  1. Maria Vasileva, Anna Malinova, Olga Rahneva, Evgenia Angelova, 2459, EIGHTH INTERNATIONAL CONFERENCE NEW TRENDS IN THE APPLICATIONS OF DIFFERENTIAL EQUATIONS IN SCIENCES (NTADES2021), 2022, 030039  crossref
  2. Andrea Apicella, Francesco Isgrò, Roberto Prevete, “A simple and efficient architecture for trainable activation functions”, Neurocomputing, 370, 2019, 1  crossref
  3. Smaranda Belciug, “Parallel versus cascaded logistic regression trained single-hidden feedforward neural network for medical data”, Expert Systems with Applications, 170, 2021, 114538  crossref
  4. Xianzhen Xu, Dan Cao, Yu Zhou, Jun Gao, “Application of neural network algorithm in fault diagnosis of mechanical intelligence”, Mechanical Systems and Signal Processing, 141, 2020, 106625  crossref
  5. Ricardo Rodrigues de Oliveira Neto, Helio Garcia Leite, José Marinaldo Gleriani, Bogdan M. Strimbu, “Estimation of Eucalyptus productivity using efficient artificial neural network”, Eur J Forest Res, 141, № 1, 2022, 129  crossref
  6. Smaranda Belciug, Renato Constantin Ivanescu, 1435, Intelligent Methods Systems and Applications in Computing, Communications and Control, 2023, 195  crossref
  7. Sheng Zhou, Chong-Yang Shen, Lei Zhang, Ning-Wu Liu, Tian-Bo He, Ben-Li Yu, Jing-Song Li, “Dual-optimized adaptive Kalman filtering algorithm based on BP neural network and variance compensation for laser absorption spectroscopy”, Opt. Express, 27, № 22, 2019, 31874  crossref
  8. Yuanting Yan, Ruiqing Liu, Zihan Ding, Xiuquan Du, Jie Chen, Yanping Zhang, “A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification”, IEEE Access, 7, 2019, 23537  crossref
  9. T. Janjic, S. Pereverzyev, M. Hammerl, V. Neubauer, H. Lerchner, V. Wallner, R. Steiger, U. Kiechl-Kohlendorfer, M. Zimmermann, A. Buchheim, A. E. Grams, E. R. Gizewski, “Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates”, Eur Radiol, 30, № 12, 2020, 6441  crossref
  10. Vugar E. Ismailov, “Computing the Approximation Error for Neural Networks with Weights Varying on Fixed Directions”, Numerical Functional Analysis and Optimization, 40, № 12, 2019, 1395  crossref
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