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  1. River flow forecasting through conceptual models part I — A discussion of principles

    J.E. Nash, J. V. Sutcliffe

    Мақола197020 иқтибос
    ABI
  2. Learning representations by back-propagating errors

    David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams

    Мақола198615 иқтибос
    ABI
  3. A Fast Learning Algorithm for Deep Belief Nets

    Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh

    Мақола20068 иқтибос
    ABI
  4. Сарлавҳасиз

    Бошқа5 иқтибос
    ABI
  5. Rectified Linear Units Improve Restricted Boltzmann Machines

    Vinod Nair, Geoffrey E. Hinton

    Мақола20104 иқтибос
    ABI
  6. SciPy 1.0: fundamental algorithms for scientific computing in Python

    Pauli Virtanen, Ralf Gommers, Travis E. Oliphant +32

    Шарҳ мақола20194 иқтибос
    ABI
  7. Could Big Data be the end of theory in science?

    Fulvio Mazzocchi

    Мақола20154 иқтибос
    ABI
  8. Weighted linear regression for symbolic interval-values data with outliers

    Chen‐Chia Chuang, C.M. Wang, Chih-Wen. Li

    Мақола20104 иқтибос
    ABI
  9. Escherichia coli as an indicator of bacteriological quality of water: an overview

    Stephen T. Odonkor, Joseph K. Ampofo

    Мақола20134 иқтибос
    ABI
  10. Newton-Type Minimization via the Lanczos Method

    Stephen G. Nash

    Мақола19844 иқтибос
    ABI
  11. Watershed-Scale Fate and Transport of Bacteria

    David A. Chin, Donna Sakura-Lemessy, David D. Bosch +1

    Мақола20094 иқтибос
    ABI
  12. Comparison of CANWET and HSPF for water budget and water quality modeling in rural Ontario

    S. I. Ahmed, Amanjot Singh, Ramesh Rudra +1

    Мақола20134 иқтибос
    ABI