Universal approximation using radial-basis function networks, Neural Computation, Vol. Matrix Computations, 2nd ed., John Hopkins University Press, London, 1989. Some aspects of radial-basis function approximation, NATO ASI Series, Vol. Neural Networks: A Comprehensive Foundation, Macmillan Canada, Toronto, 1994.
#NEUROGUIDE SYMPTOM NETWORK RADAR MAP SERIES#
Time series prediction by adaptive networks: a dynamical systems perspective, IEE Proceeding F, Vol. Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition, IEEE Transactions on Electronic Computers, Vol. Networks for approximation and learning, Proceedings of the IEEE, Vol. This process is experimental and the keywords may be updated as the learning algorithm improves. These keywords were added by machine and not by the authors. The RBF predictive detector is shown to be efficient in detecting small targets in sea clutter. Quantization error limits the prediction accuracy, but the RBF is capable of reaching the best prediction for both temporal data and spatial data produced by a radar sweep through a range of azimuth. This approach has been tested using data collected at Osborne Head, Nova Scotia, Canada, by an instrumental quality X-band coherent radar. This enclosure for the FICS-compatible Net Amps 400 amplifier includes input RF filters. Classical detection schemes are applied to the error signal to implement target detection. Hunt along lucrative trade routes as unpredictable weather. As a target will not conform to the same dynamics as the clutter, a large prediction error should be observed when a target is present in the signal.
An error signal is generated by comparing each network prediction with the next element of the actual radar signal. The radar signal is input to the network, producing a single step prediction. A neural network can be used to model the underlying system dynamics in this case a radial basis function (RBF) network used. If we assume that sea clutter is the result of a chaotic process, we can apply an alternative approach to clutter elimination in radar signals. Chaotic systems arise naturally in many circumstances. Apparently random behaviour of a deterministic nonlinear dynamical system is referred to as chaos.
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