Browsing Faculty of Engineering and Science by Author "Qin, Ke"
Now showing items 1-4 of 4
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Ideal Chaotic Pattern Recognition is achievable: The Ideal-M-AdNN - its design and properties
Qin, Ke; Oommen, B. John (Lecture Notes in Computer Science;8065, Chapter; Peer reviewed, 2013)This paper deals with the relatively new field of designing a Chaotic Pattern Recognition (PR) system. The benchmark of such a system is the following: First of all, one must be able to train the system with a set of ... -
Networking logistic neurons can yield chaotic and pattern recognition properties
Qin, Ke; Oommen, B. John (Chapter; Peer reviewed, 2011)Over the last few years, the field of Chaotic Neural Networks (CNNs) has been extensively studied because of their potential applications in the understanding/recognition of patterns and images, their associative memory ... -
On the Cryptanalysis of Two Cryptographic Algorithms That Utilize Chaotic Neural Networks
Qin, Ke; Oommen, John (Journal article; Peer reviewed, 2015) -
The Science and Art of Chaotic Pattern Recognition
Oommen, John; Qin, Ke; Calitoiu, Dragos (Chapter; Peer reviewed, 2016)