Nonlinear dynamics and chaos in fractional-order neural networks
By Eva Kaslik, Seenith Sivasundaram. Neural Networks, 2012
410 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/aa58da72b05e4fe0c59f85fba63137e9a7e480c2
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In Artificial Intelligence
In Computer Networks and Communications
In Statistical and Nonlinear Physics
Citations in the corpus
- A 3 - D Novel Conservative Chaotic System and its Generalized Projective Synchronization via Adaptive Control (2015, background): “The study of chaos theory has many important applications in science and engineering such as oscillators [38-40], lasers [41-43], robotics [44-47], chemical reactors [48-50], biology [51,52], ecology [53,54], cardiology [55], memristors [56-60], neural networks [61-63], secure communications [64-67]”