Complex dynamical behavior of neural networks in circuit implementation

abstract

• 2016 Elsevier B.V. Neural networks have abundant dynamic behaviors in nonlinear fields. In this paper, several circuit units are combined to realize some neuron-network models. The results of circuit simulation described by Multisim software demonstrates complex dynamical behaviors. It is shown that the phenomenon such as hyperchaos, limit cycles, homoclinic orbits of the designed circuits are closely similar to the results of numerical experiments.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Wang, T., He, X., & Huang, T.

citation count

• 11

complete list of authors

• Wang, Tiancai||He, Xing||Huang, Tingwen

publication date

• May 2016

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Circuitry Implementation
• Dynamical Behavior
• Neural Network

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2016.01.030

start page

• 95

end page

• 106

volume

• 190

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.neucom.2016.01.030