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Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II (Paperback, Edition.)
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Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, Septmeber 15-18, 2020, Proceedings, Part II (Paperback, Edition.)
Series: Lecture Notes in Computer Science, 6353
Expected to ship within 10 - 15 working days
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th This volume is part of the three-volume proceedings of the 20
International Conference on Arti?cial Neural Networks (ICANN 2010)
that was held in Th- saloniki, Greece during September 15-18, 2010.
ICANN is an annual meeting sponsored by the European Neural Network
Society (ENNS) in cooperation with the International Neural Network
So- ety (INNS) and the Japanese Neural Network Society (JNNS). This
series of conferences has been held annually since 1991 in Europe,
covering the ?eld of neurocomputing, learning systems and other
related areas. As in the past 19 events, ICANN 2010 provided a
distinguished, lively and interdisciplinary discussion forum for
researches and scientists from around the globe.
Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso
all the developments and applications in the area of Arti?cial
Neural Networks (ANNs). ANNs provide an information processing
structure inspired by biolo- cal nervous systems and they consist
of a large number of highly interconnected processing elements
(neurons). Each neuron is a simple processor with a limited
computing capacity typically restricted to a rule for combining
input signals (utilizing an activation function) in order to
calculate the output one. Output
signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite
or inhibit the signal being communicated. ANNs have the ability "to
learn" by example (a large volume of cases) through several
iterations without requiring a priori ?xed knowledge of the
relationships between process parameters.
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