About this Journal Submit a Manuscript Table of Contents

Citations to this Journal [39 citations: 36 articles]

Articles published in Advances in Artificial Neural Systems have been cited 39 times. The following is a list of the 36 articles that have cited the articles published in Advances in Artificial Neural Systems.

  • Nasser-Eddine Tatar, “Long Time Behavior for a System of Differential Equations with Non-Lipschitzian Nonlinearities,” Advances in Artificial Neural Systems, vol. 2014, pp. 1–7, 2014. View at Publisher · View at Google Scholar
  • Martti Juhola, Henry Joutsijoki, Heikki Aalto, and Timo P. Hirvonen, “On classification in the case of a medical data set with a complicated distribution,” Applied Computing and Informatics, 2014. View at Publisher · View at Google Scholar
  • Yahia Kourd, Dimitri Lefebvre, and Noureddine Guersi, “Neural Networks and Fault Probability Evaluation for Diagnosis Issues,” Computational Intelligence and Neuroscience, vol. 2014, pp. 1–15, 2014. View at Publisher · View at Google Scholar
  • Mohammad Heidari, Ali Heidari, and Hadi Homaei, “Analysis of Pull-In Instability of Geometrically Nonlinear Microbeam Using Radial Basis Artificial Neural Network Based on Couple Stress Theory,” Computational Intelligence and Neuroscience, vol. 2014, pp. 1–11, 2014. View at Publisher · View at Google Scholar
  • Wenkai Xu, and Eung-Joo Lee, “A hybrid method based on dynamic compensatory fuzzy neural network algorithm for face recognition,” International Journal of Control, Automation and Systems, vol. 12, no. 3, pp. 688–696, 2014. View at Publisher · View at Google Scholar
  • Hermanus H. Lemmer, Dibyojyoti Bhattacharjee, and Hemanta Saikia, “A Consistency Adjusted Measure for the Success of Prediction Methods in Cricket,” International Journal of Sports Science and Coaching, vol. 9, no. 3, pp. 497–512, 2014. View at Publisher · View at Google Scholar
  • Zhang Qunli, “A Class of Vector Lyapunov Functions for Stability Analysis of Nonlinear Impulsive Differential Systems,” Mathematical Problems in Engineering, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Dhirendranath Thatoi, Punyaslok Guru, Prabir Kumar Jena, Sasanka Choudhury, and Harish Chandra Das, “Comparison of CFBP, FFBP, and RBF Networks in the Field of Crack Detection,” Modelling and Simulation in Engineering, vol. 2014, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Martin Längkvist, Lars Karlsson, and Amy Loutfi, “A Review of Unsupervised Feature Learning and Deep Learning for Time-Series Modeling,” Pattern Recognition Letters, 2014. View at Publisher · View at Google Scholar
  • Mohamed A. Shahin, “Load–settlement modeling of axially loaded steel driven piles using CPT-based recurrent neural networks,” Soils and Foundations, 2014. View at Publisher · View at Google Scholar
  • Suwicha Jirayucharoensak, Setha Pan-Ngum, and Pasin Israsena, “EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation,” The Scientific World Journal, vol. 2014, pp. 1–10, 2014. View at Publisher · View at Google Scholar
  • Paul T. Pearson, “Visualizing Clusters in Artificial Neural Networks Using Morse Theory,” Advances in Artificial Neural Systems, vol. 2013, pp. 1–8, 2013. View at Publisher · View at Google Scholar
  • Balwinder S. Dhaliwal, and Shyam S. Pattnaik, “Artificial Neural Network Analysis of Sierpinski Gasket Fractal Antenna: A Low Cost Alternative to Experimentation,” Advances in Artificial Neural Systems, vol. 2013, pp. 1–7, 2013. View at Publisher · View at Google Scholar
  • Martti Juhola, Heikki Aalto, Henry Joutsijoki, and Timo P. Hirvonen, “The Classification of Valid and Invalid Beats of Three-Dimensional Nystagmus Eye Movement Signals Using Machine Learning Methods,” Advances in Artificial Neural Systems, vol. 2013, pp. 1–11, 2013. View at Publisher · View at Google Scholar
  • R. Neves, F. Branco, and J. de Brito, “Field assessment of the relationship between natural and accelerated concrete carbonation resistance,” Cement and Concrete Composites, vol. 41, pp. 9–15, 2013. View at Publisher · View at Google Scholar
  • L.S. Nasrat, A.F. Hamed, M.A. Hamid, and S.H. Mansour, “Study the flashover voltage for outdoor polymer insulators under desert climatic conditions,” Egyptian Journal of Petroleum, vol. 22, no. 1, pp. 1–8, 2013. View at Publisher · View at Google Scholar
  • Sarthak Salunke, Maxim Mokin, Peter Kan, and Peter D. Scott, “3D Vascular Decomposition and Classification for Computer-Aided Detection,” Ieee Transactions on Biomedical Engineering, vol. 60, no. 12, pp. 3514–3523, 2013. View at Publisher · View at Google Scholar
  • Réda Samy Zazoun, “Fracture density estimation from core and conventional well logs data using artificial neural networks: The Cambro-Ordovician reservoir of Mesdar oil field, Algeria,” Journal of African Earth Sciences, vol. 83, pp. 55–73, 2013. View at Publisher · View at Google Scholar
  • Huaguang Zhang, Jiuzhen Liang, and Zhilei Chai, “Stock Prediction Based on Phase Space Reconstruction and Echo State Networks,” Journal of Algorithms & Computational Technology, vol. 7, no. 1, pp. 87–100, 2013. View at Publisher · View at Google Scholar
  • Xiongfei Zou, Ying Tang, Shirong Bu, Zhengxiang Luo, and Shouming Zhong, “Neural-Network-Based Approach for Extracting Eigenvectors and Eigenvalues of Real Normal Matrices and Some Extension to Real Matrices,” Journal of Applied Mathematics, vol. 2013, pp. 1–13, 2013. View at Publisher · View at Google Scholar
  • Mohammad Heidari, and Hadi Homaei, “Quadratic Optimal Regulator Design of a Pneumatic Control Valve,” Modelling and Simulation in Engineering, vol. 2013, pp. 1–8, 2013. View at Publisher · View at Google Scholar
  • Liqun Zhou, “Delay-Dependent Exponential Stability of Cellular Neural Networks with Multi-Proportional Delays,” Neural Processing Letters, vol. 38, no. 3, pp. 347–359, 2013. View at Publisher · View at Google Scholar
  • Liqun Zhou, “Dissipativity of a class of cellular neural networks with proportional delays,” Nonlinear Dynamics, vol. 73, no. 3, pp. 1895–1903, 2013. View at Publisher · View at Google Scholar
  • Kevin R. Haas, Haw Yang, and Jhih-Wei Chu, “Fisher information metric for the Langevin equation and least informative models of continuous stochastic dynamics,” The Journal of Chemical Physics, vol. 139, no. 12, pp. 121931, 2013. View at Publisher · View at Google Scholar
  • Vic Norris, Ghislain Gangwe Nana, and Jean-Nicolas Audinot, “New approaches to the problem of generating coherent, reproducible phenotypes,” Theory in Biosciences, 2013. View at Publisher · View at Google Scholar
  • Amir Hossein Alavi, and Amir Hossein Gandomi, “Discussion on “Models to predict the deformation modulus and the coefficient of subgrade reaction for earth filling structures” by Ismail Dinçer [Adv. Eng. Software 42 (2011) 160–171],” Advances in Engineering Software, vol. 52, pp. 44–46, 2012. View at Publisher · View at Google Scholar
  • Vic Norris, Laurence Menu-Bouaouiche, Jean-Michel Becu, Rachel Legendre, Romain Norman, and Jason A. Rosenzweig, “Hyperstructure interactions influence the virulence of the type 3 secretion system in yersiniae and other bacteria,” Applied Microbiology and Biotechnology, vol. 96, no. 1, pp. 23–36, 2012. View at Publisher · View at Google Scholar
  • Amir Hossein Alavi, Amir Hossein Gandomi, and Seyyed Mohammad Mousavi, “Discussion on "Prediction of shear strength parameters of soils using artificial neural networks and multivariate regression methods",” Engineering Geology, vol. 137, pp. 107–108, 2012. View at Publisher · View at Google Scholar
  • J. Humberto Pérez-Cruz, A. Y. Alanis, José de Jesús Rubio, and Jaime Pacheco, “System Identification Using Multilayer Differential Neural Networks: A New Result,” Journal of Applied Mathematics, vol. 2012, pp. 1–20, 2012. View at Publisher · View at Google Scholar
  • Kamil Aydin, and Ozgur Kisi, “Damage detection in Timoshenko beam structures by multilayer perceptron and radial basis function networks,” Neural Computing and Applications, 2012. View at Publisher · View at Google Scholar
  • Takashi Watanabe, and Keisuke Fukushima, “A Study on Feedback Error Learning Controller for Functional Electrical Stimulation: Generation of Target Trajectories by Minimum Jerk Model,” Artificial Organs, vol. 35, no. 3, pp. 270–274, 2011. View at Publisher · View at Google Scholar
  • Adem Kalinli, M. Cemal Acar, and Zeki Gunduz, “New approaches to determine the ultimate bearing capacity of shallow foundations based on artificial neural networks and ant colony optimization,” Engineering Geology, vol. 117, no. 1-2, pp. 29–38, 2011. View at Publisher · View at Google Scholar
  • Amir Hossein Gandomi, and Amir Hossein Alavi, “Multi-stage genetic programming: A new strategy to nonlinear system modeling,” Information Sciences, vol. 181, no. 23, pp. 5227–5239, 2011. View at Publisher · View at Google Scholar
  • Ali Mollahasani, Seyyed Mohammad Mousavi, Amir Hossein Gandomi, and Amir Hossein Alavi, “Nonlinear genetic-based simulation of soil shear strength parameters,” Journal Of Earth System Science, vol. 120, no. 6, pp. 1001–1022, 2011. View at Publisher · View at Google Scholar
  • Turan Yilmaz, Galip Seckin, and Ahmet Yuceer, “Modeling of effluent COD in UAF reactor treating cyanide containing wastewater using artificial neural network approaches,” Advances In Engineering Software, vol. 41, no. 7-8, pp. 1005–1010, 2010. View at Publisher · View at Google Scholar
  • Yongjian Chen, Masatake Akutagawa, Takahiro Emoto, and Yohsuke Kinouchi, “The removal of EMG in EEG by neural networks,” Physiological Measurement, vol. 31, no. 12, pp. 1567–1584, 2010. View at Publisher · View at Google Scholar