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» Evolving Artificial Neural Networks that Develop in Time
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114
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CEC
2010
IEEE
14 years 9 months ago
Evolved Bayesian Network models of rig operations in the gulf of Mexico
The operation of drilling rigs is highly expensive. It is therefore important to be able to identify and analyse variables affecting rig operations. We investigate the use of Genet...
François A. Fournier, John A. W. McCall, An...
CEC
2007
IEEE
15 years 7 months ago
Evolving the best-response strategy to decide when to make a proposal
— This paper designed and developed negotiation agents with the distinguishing features of 1) conducting continuous time negotiation rather than discrete time negotiation, 2) lea...
Bo An, Kwang Mong Sim, Victor R. Lesser
EVOW
2009
Springer
15 years 4 months ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun
113
Voted
FLAIRS
2004
15 years 2 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
ICTAI
1994
IEEE
15 years 4 months ago
NSK, an Object-Oriented Simulator Kernel for Arbitrary Feedforward Neural Networks
An object-oriented neural network simulator kernel is presented. It is based on a general mathematical model for arbitrary feedforward nets. We propose a C++ implementation of thi...
Cédric Gégout, Bernard Girau, Fabric...