Browse by Goldsmiths authors: Nikolaev, Nikolay

Number of items: 18.
Article
  • A Regime-Switching Recurrent Neural Network Model Applied to Wind Time Series. (2019) Nikolaev, Nikolay; Smirnov, Evgueni; Stamate, Daniel and Zimmer, Robert
  • Time-dependent series variance learning with recurrent mixture density networks. (2013) Nikolaev, Nikolay; Peter, Tino and Evgueni, Smirnov
  • Heavy-tailed mixture GARCH volatility modeling and Value-at-Risk estimation. (2013) Nikolaev, Nikolay; Boshnakov, Georgi N. and Zimmer, Robert
  • Nonlinear maximum likelihood estimation of electricity spot prices using recurrent neural networks. (2011) Mirikitani, Derrick and Nikolaev, Nikolay
  • Time-Dependent Series Variance Estimation via Recurrent Neural Networks. (2011) Nikolaev, Nikolay; Tino, Peter and Smirnov, Evgueni
  • Efficient online recurrent connectionist learning with the ensemble Kalman filter. (2010) Mirikitani, Derrick T. and Nikolaev, Nikolay
  • Recursive Bayesian Recurrent Neural Networks for Time-Series Modeling. (2010) Mirikitani, D. T. and Nikolaev, Nikolay
  • Single-Stacking Conformity Approach to Reliable Classification. (2010) Smirnov, Evgueni; Nikolaev, Nikolay and Nalbantov, Georgi
  • k-Version-Space Multi-class Classification Based on k-Consistency Tests. (2010) Smirnov, Evgueni; Nalbantov, Georgi and Nikolaev, Nikolay
  • Sequential Bayesian Kernel Modelling with Non-Gaussian Noise. (2008) Nikolaev, Nikolay and de Menezes, L
  • Polynomial Harmonic GMDH Learning Networks for Time Series Modeling. (2003) Nikolaev, Nikolay
  • Learning polynomial feedforward neural networks by genetic programming and backpropagation. (2003) Nikolaev, Nikolay
  • Genetic Programming of Polynomial Harmonic Networks using the Discrete Fourier Transform. (2002) Nikolaev, Nikolay and Iba, Hitoshi
  • Accelerated Genetic Programming of Polynomials. (2001) Nikolaev, Nikolay and Iba, Hitoshi
  • Regularization Approach to Inductive Genetic Programming. (2001) Nikolaev, Nikolay
    • Book
  • Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods. (2006) Nikolaev, Nikolay and Iba, H.
    • Book Section
  • Nonlinear filtering of asymmetric stochastic volatility models and Value-at-Risk estimation. (2014) Nikolaev, Nikolay; De Menezes, L. M. and Smirnov, E.
    • Conference or Workshop Item
  • Standard feedforward neural networks with backprop cannot support cognitive superposition. (2022) Vanegdom, A.; Nikolaev, Nikolay and Garagnani, M.