کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4947778 1439590 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Empirical analysis of bifurcations in the full weights space of a two-neuron DTRNN
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Empirical analysis of bifurcations in the full weights space of a two-neuron DTRNN
چکیده انگلیسی
This is an empirical analysis of the dynamic behavior of Discrete-Time Recurrent Neural Networks (DTRNN) with two neurons based on the existing bifurcations on the full 4-dimensional synaptic weights space. We describe the existing bifurcation manifolds and the corresponding expected behavior in each region delimited by them in terms of the existing attractors. We found an unexpectedly rich variety of behaviors, however, finite and classifiable. We propose also an algebraic nomenclature that helps in the understanding of the underlying structure in the weights space.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 237, 10 May 2017, Pages 362-374
نویسندگان
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