An Extended Neo-Fuzzy Neuron and its Adaptive Learning Algorithm
نویسندگان
چکیده
A modification of the neo-fuzzy neuron is proposed (an extended neo-fuzzy neuron (ENFN)) that is characterized by improved approximating properties. An adaptive learning algorithm is proposed that has both tracking and smoothing properties and solves prediction, filtering and smoothing tasks of non-stationary “noisy” stochastic and chaotic signals. An ENFN distinctive feature is its computational simplicity compared to other artificial neural networks and neuro-fuzzy systems.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1610.06483 شماره
صفحات -
تاریخ انتشار 2016