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The paper presents adaptive neural network based controller of dishwasher. It shows how to prepare input data for training networks and presents the simulation of network performance.
In order to overcome the defect of conventional neural networks, computational algorithm is used to train RBF network to model the Ni-MH battery. First, RBF network centre is identified by the artificial immune data clustering method. A new immune algorithm, adaptive parallel immune evolutionary strategy, PIES is used to train RBF network and RBF neural network training steps are designed. Finally,...
Artificial neural network (ANN) and space mapping are recognized as two major recent advances in microwave CAD. ANNs can be trained to learn EM and physics behaviour from component data, and trained ANNs can be used in high-level circuit design. Space mapping has proved to be a breakthrough in engineering optimization allowing expensive EM optimization to be performed effectively with the help of...
One of most perspective techniques for sensing in ubiquitous computing systems is neural networks. In this paper we describe features of usage of neural networks in ubiquitous computing and its implementation for solving of some tasks in middleware ubiquitous computing system for smart environment.
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