REALIZATION OF BOOLEAN FUNCTIONS VIA CNN WITH VON NEUMANN NEIGHBORHOODS
From MaRDI portal
Publication:3498647
DOI10.1142/S0218127406015374zbMath1185.94096MaRDI QIDQ3498647
Fangyue Chen, G. L. He, Guan-Rong Chen
Publication date: 16 May 2008
Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (5)
IDENTIFICATION AND REALIZATION OF LINEARLY SEPARABLE BOOLEAN FUNCTIONS VIA CELLULAR NEURAL NETWORKS ⋮ Topological equivalence classification and enumeration of \(n\)-input linearly separable Boolean functions ⋮ FINGERPRINT FEATURE EXTRACTION VIA CNN WITH VON NEUMANN NEIGHBORHOOD ⋮ Universal Perceptron Theory on Decomposition Structures of n-Bit Boolean Functions ⋮ Topological Equivalence Classification of Balanced Linearly Separable Boolean Functions on n-Dimensional Hypercube
Cites Work
- Unnamed Item
- Cellular neural networks: theory
- CNN: A Vision of Complexity
- Implementation of arbitrary Boolean functions on a CNN Universal Machine
- The CNN paradigm
- The CNN universal machine: an analogic array computer
- Simplicial rtd-based cellular nonlinear networks
- REALIZATION AND BIFURCATION OF BOOLEAN FUNCTIONS VIA CELLULAR NEURAL NETWORKS
This page was built for publication: REALIZATION OF BOOLEAN FUNCTIONS VIA CNN WITH VON NEUMANN NEIGHBORHOODS
