Using the Taylor expansion of multilayer feedforward neural networks
نویسنده
چکیده
The Taylor series expansion of continuous functions has shown in many fields to be an extremely powerful tool to study the characteristics of such functions. This paper illustrates the power of the Taylor series expansion of multilayer feedforward neural networks. The paper shows how these expansions can be used to investigate positions of decision boundaries, to develop active learning strategies and to perform architecture selection.
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ورودعنوان ژورنال:
- South African Computer Journal
دوره 26 شماره
صفحات -
تاریخ انتشار 2000