کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
407741 678166 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
ELM solutions for event-based systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
ELM solutions for event-based systems
چکیده انگلیسی

Whilst most engineered systems use signals that are continuous in time, there is a domain of systems in which signals consist of events. Events, like Dirac delta functions, have no meaningful time duration. Many important real-world systems are intrinsically event-based, including the mammalian brain, in which the primary packets of data are spike events, or action potentials. In this domain, signal processing requires responses to spatio-temporal patterns of events. We show that some straightforward modifications to the standard ELM topology produce networks that are able to perform spatio-temporal event processing online with a high degree of accuracy. The modifications involve the re-definition of hidden layer units as synaptic kernels, in which the input delta functions are transformed into continuous-valued signals using a variety of impulse-response functions. This permits the use of linear solution methods in the output layer, which can produce events as output, if modeled as a classifier – the output classes are “event” or “no event”. We illustrate the method in application to a spike-processing problem.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 149, Part A, 3 February 2015, Pages 435–442
نویسندگان
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