Dynamics of fully complex-valued neural networks

@article{Hirose1992DynamicsOF,
  title={Dynamics of fully complex-valued neural networks},
  author={A. Hirose},
  journal={Electronics Letters},
  year={1992},
  volume={28},
  pages={1492-1494}
}
  • A. Hirose
  • Published 1992
  • Computer Science
  • Electronics Letters
    • A novel neural network that processes input vectors and attractors fully in complex space using complex weights is proposed. Real and imaginary data are treated consistently with an equivalent significance in nondegenerate complex space. This network can be applied for ill-posed problems concerning realistic physical fields and continuous motion controls. The dynamics are presented and demonstrated. 
    View via Publisher
    121 Citations
    Highly Influential Citations
    5
    Background Citations
    36
    Methods Citations
    8

    Topics from this paper

    Explore Further: Topics Discussed in This Paper

    121 Citations
    Citation Type

    Citation Type

    An iterative learning scheme for multistate complex-valued and quaternionic Hopfield neural networks
    • 17
    Stability Analysis for Higher Order Complex-Valued Hopfield Neural Network
    • 7
    Valued Neural Networks
    • PDF
    On the fundamental properties of fully quaternionic hopfield network
    • 16
    • PDF
    Some Properties of the Network Consisting of Two Complex-Valued Nagumo-Sato Neurons
    • 1
    Stability of Complex-Valued Neural Networks with Two Additive Time-Varying Delay Components
    • 2
    Qualitative Analysis of Continuous Complex-Valued Associative Memories
    • 6
    • Highly Influenced
    Motion controls using complex-valued neural networks with feedback loops
    • A. Hirose
    • Computer Science
    • IEEE International Conference on Neural Networks
    • 1993
    • 8
    Proposal of relative-minimization learning for behavior stabilization of complex-valued recurrent neural networks
    • 10
    Synchronization in Fractional-Order Complex-Valued Delayed Neural Networks
    • 14
    • PDF

    References

    SHOWING 1-3 OF 3 REFERENCES
    Statistical neurodynamics of associative memory
    • 377
    Neural networks and physical systems with emergent collective computational abilities.
    • J. Hopfield
    • Computer Science, Medicine
    • Proceedings of the National Academy of Sciences of the United States of America
    • 1982
    • 12,635
    • PDF
    Self-Organization and Associative Memory
    • 5,911