T. Nitta, “Orthogonality of Decision Boundaries in Complex-Valued Neural Networks,” Neural Computation, Vol. 16, No. 1, 2004, pp. 73-97. http://dx.doi.org/10.1162/08997660460734001

has been cited by the following article:

• TITLE: Learning Dynamics of the Complex-Valued Neural Network in the Neighborhood of Singular Points

  AUTHORS: Tohru Nitta

  KEYWORDS: Complex-Valued Neural Network; Complex Number; Learning; Singular Point

  JOURNAL NAME: Journal of Computer and Communications, Vol.2 No.1, January 7, 2014

  ABSTRACT: In this paper, the singularity and its effect on learning dynamics in the complex-valued neural network are elucidated. It has learned that the linear combination structure in the updating rule of the complex-valued neural network increases the speed of moving away from the singular points, and the complex-valued neural network cannot be easily influenced by the singular points, whereas the learning of the usual real-valued neural network can be attracted in the neighborhood of singular points, which causes a standstill in learning. Simulation results on the learning dynamics of the three-layered real-valued and complex-valued neural networks in the neighborhood of singularities support the analytical results.