New reflection generator for simulated annealing in mixed-integer/continuous global optimization
Journal of Optimization Theory and Applications
Evolving Multilayer Perceptrons
Neural Processing Letters
Neural Networks in Computer Intelligence
Neural Networks in Computer Intelligence
Neural network learning using entropy cycle
Knowledge and Information Systems
FANNC: a fast adaptive neural network classifier
Knowledge and Information Systems
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Feature selection with neural networks
Pattern Recognition Letters
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
A study of the model and algorithms for handling location-dependent continuous queries
Knowledge and Information Systems
Knowledge and Information Systems
Non-parametric classifier-independent feature selection
Pattern Recognition
A hybrid approach for feature subset selection using neural networks and ant colony optimization
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fast training of multilayer perceptrons
IEEE Transactions on Neural Networks
Knowledge and Information Systems
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Due to the popularity of location-based services, determining the location of a device at all times has become a subject of great interests. Although many GPS-based applications have been developed and successfully deployed in various fields, their applicabilities are hindered by the obstruction of the objects in the environment. Essentially, as satellite signals cannot penetrate the walls of buildings, the coverage of GPS systems is limited to outdoor environments. To fully exploit the benefit of location-based services, approaches that determine the location of a device in indoor environments need to be established. This study presents a novel location determination mechanism that uses an indoor WLAN and back-propagation neural network (BPN). A museum is taken as the context of the example indoor environment. Location determination is achieved using the combined strengths of 802.11b wireless access signals. With a significant number of access points (APs) installed in the museum, hand-held devices can sense the strengths of the signals from all APs to which the devices can connect. Using a back-propagation network, device locations can be estimated with sufficient accuracy. A novel adaptive algorithm is implemented for enhancing the accuracy of the estimation.