A Neural Abstract Machine
نویسندگان
چکیده
In an attempt to capture the fundamental features that are common to neural networks, we define a parameterized Neural Abstract Machine (NAM ) in such a way that the major neural networks in the literature can be described as natural extensions or refinements of the NAM . We illustrate the refinement for feedforward networks with back-propagation training. The NAM provides a platform and programming language independent basis for a comparative mathematical and experimental analysis and evaluation of different implementations of neural networks. We concentrate our attention here on the computational core (Neural Kernel NK ) and provide abstract interfaces for the other NAM components.
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ورودعنوان ژورنال:
- J. UCS
دوره 7 شماره
صفحات -
تاریخ انتشار 2001