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Nonlinear and Complex Systems, Neural Nets
Neural control theory
Synchronization theory with applications to secure communication using chaos
Global optimization using the Fokker-Planck machine
Preoperative prediction of ovarian cancer with artificial neural networks
Source separation and probability estimation by local adaptive information maximization
Neural Networks Based on Multi-Valued and Universal Binary Neurons
Cellular automata with coarse-graining invariant orbits
Fractional Fourier Analysis of signals with different types of time-frequency symmetry
Modeling and analysis of discrete event dynamic systems and hybrid systems
Identification of traffic flow patterns and traffic light control
System Modeling using Composition Networks
Fraud Detection in Mobile Communications using Supervised Neural Networks
Embedding Recurrent Neural Networks into Predator-Prey Models
SISTA Web Master
4/21/1998
