The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
Vassilis P. Plagianakos, George D. Magoulas, Micha...
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
We investigate issues related to the probe complexity of the And-Or quorum system and its implementation in a dynamic environment. Our contribution is twofold: We first analyze th...
One of the most challenging problems in managing large networks is the complexity of security administration. Role based access control (RBAC) has become the predominant model for...
Tuan-Anh Nguyen, Linying Su, George Inman, David W...
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...