Function Estimation by Feedforward Sigmoidal Networks with Bounded Weights
Eye Tracking in Image Sequences by Competitive Neural Networks
Local Adaptive Subspace Regression
Functional Networks
Constrained RTRL To Reduce Learning Rate and Forgetting Phenomenon
Parallel Coarse Grain Computing of Boltzmann Machines
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Synchronization of Locally Coupled Neural Oscillators
Extraction of Logical Rules from Neural Networks