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A network model using Self-organizing map (SOM) and Outputs Modifiable Radial Basis Function (OMRBF) is proposed to identify acoustic fault of underwater vehicles. This model integrates unsupervised SOM with supervised OMRBF to accomplish incremental learning. The outputs neurons of this model can be modified on-line, and SOM is utilized to determine the optimal number of hidden neurons. Experiment...
Sensors to monitor cargo are currently operated in standalone mode because of cost considerations, operational simplicity, and because potential benefits to having sensors share information do not appear to have been seriously considered in many cases. To identify situations where threat detection benefits offset networking costs (and where they do not), we describe a numerical algorithm for approximating...
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