Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms
نویسندگان
چکیده
منابع مشابه
Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms
The paper proposes a general framework which encompasses the training of neural networks and the adaptation of filters. We show that neural networks can be considered as general non-linear filters which can be trained adaptively, i. e. which can undergo continual training with a possibly infinite number of time-ordered examples. We introduce the canonical form of a neural network. This canonica...
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For some classes of nonlinear systems or time series, an operating point dependent ARMA model can be used to represent the system. In this paper we use the neural networks to identify such a model which can then be converted to its equivalent state-space representation. Using this state-space form, a Kalman lter can be applied to estimate the state, and a simulated example is given.
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ژورنال
عنوان ژورنال: Neural Computation
سال: 1993
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco.1993.5.2.165