Fully complex multi-layer perceptron network for nonlinear signal processing

DOI10.1023/A:1016359216961zbMath1016.68070OpenAlexW1528288284MaRDI QIDQ1851181

Tülay Adali, Taehwan Kim

Publication date: 15 December 2002

Published in: Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1016359216961

zbMATH Keywords

elementary transcendental functionsanalytic almost everywhereboundedalmost everywherefully complex neural networknonlinear adaptive signal processingsplit complex neural network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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Stability and Hopf bifurcation analysis of fractional-order complex-valued neural networks with time delays ⋮ Approximation by Fully Complex Multilayer Perceptrons ⋮ Robust fixed-time synchronization for uncertain complex-valued neural networks with discontinuous activation functions ⋮ A meta-cognitive learning algorithm for a fully complex-valued relaxation network ⋮ Fixed points of complex-valued bidirectional associative memory ⋮ Complex valued neural network with Möbius activation function ⋮ A rule-based granular model development for interval-valued time series ⋮ Complex-valued adaptive signal processing using nonlinear functions ⋮ Complex-valued neural networks for nonlinear complex principal component analysis ⋮ Complex infomax: Convergence and approximation of infomax with complex nonlinearities ⋮ Multistability of complex-valued neural networks with discontinuous activation functions ⋮ Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay

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