Certainty factors versus Parzen windows as reliability measures in RBF networks
نویسندگان
چکیده
A method is described for using Radial Basis Function (RBF) neural networks to generate a certainty factor reliability measure along with the network's normal output. The certainty factor approach is then compared with another technique for measuring RBF reliability, Parzen windows. Both methods are implemented into RBF networks, and the results of using each approach are compared. Advantages and disadvantages of each approach are discussed. Results indicate that certainty factors are a superior reliability measure.
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ورودعنوان ژورنال:
- Neurocomputing
دوره 19 شماره
صفحات -
تاریخ انتشار 1998