Assessing RBF Networks Using DELVE
نویسندگان
چکیده
In this paper, different methods for training radial basis function (RBF) networks for regression problems are described and illustrated. Then, using data from the DELVE archive, they are empirically compared with each other and with some other well known methods for machine learning. Each of the RBF methods performs well on at least one DELVE task, but none are as consistent as the best of the other non-RBF methods.
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ورودعنوان ژورنال:
- International journal of neural systems
دوره 10 5 شماره
صفحات -
تاریخ انتشار 2000