P. S. Neelakanta

Information-Theoretic Aspects of Neural Networks (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Information-Theoretic Aspects of Neural Networks is an exceptional resource for engineers and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. It presents focused insight as well as new perspectives on information

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 416
• Erscheinungstermin: 23. September 2020
• Englisch
• ISBN-13: 9781000141252
• Artikelnr.: 60150134

Autorenporträt

P. S. Neelakanta

Inhaltsangabe

IntroductionNeural Complex: A Nonlinear CI System?Neural Complex vis-a-vis
Statistical Mechanics, Entropy, Thermodynamics and Information TheoryNeural
Communication and Control in Information-Theoretic PlaneNeural Complexity:
An Algorithmic RepresentationNeural Information DynamicsSemiotic Framework
of Neural Information ProcessingGenetic Algorithmic Based Depiction of
Neural InformationEpilogueAppendix