This review attempts to provide an insightful perspective on the role of time within neural network models and the use of neural networks for problems involving time. The most commonly used neural network models are de ned and explained giving mention to important technical issues but avoiding great detail. The relationship between recurrent and feedforward networks is emphasised, along with the distinctions in their practical and theoretical abilities. Some practical examples are discussed to

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... llustrate the major issues concerning the application of neural networks to data with various types of temporal structure, and nally some highlights of current research on the more di cult types of problems are presented.