Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Abstract— In previous work, we established a linear programming framework to determine sensor location from measured link distances between neighboring nodes in a network. Beside...
— We consider energy efficient packet forwarding with quality-of-service (QoS) guarantee for wireless sensor networks (WSNs). In most existing wireless network protocols, route ...