Matches in SemOpenAlex for { <https://semopenalex.org/work/W1574341018> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W1574341018 abstract "A new optimized algorithm for the learning process suitable for hardware implemented Winner Takes Most Kohonen Neural Network (KNN) has been proposed in the paper. In networks of this type a neighborhood mechanism is used to improve the convergence properties of the network by decreasing the quantization error. The proposed technique bases on the observation that the quantization error does not decrease monotonically during the learning process but there are some 'activity' phases, in which this error decreases very fast and then the 'stagnation' phases, in which the error does not decrease. The stagnation phases usually are much longer than the activity phases, which in practice means that the network makes a progress in training only in short periods of the learning process. The proposed technique using a set of linear and nonlinear filters detects the activity phases and controls the neighborhood R in such a way to shorten the stagnation phases. As a result, the learning process may be 16 times faster than in the classic approach, in which the radius R decreases linearly. The intended application of the proposed solution will be in Wireless Body Sensor Networks (WBSN) in classification and analysis of the EMG and the ECG biomedical signals." @default.
- W1574341018 created "2016-06-24" @default.
- W1574341018 creator A5024923159 @default.
- W1574341018 creator A5088770647 @default.
- W1574341018 date "2009-01-01" @default.
- W1574341018 modified "2023-09-29" @default.
- W1574341018 title "NEW FAST TRAINING ALGORITHM SUITABLE FOR HARDWARE KOHONEN NEURAL NETWORKS DESIGNED FOR ANALYSIS OF BIOMEDICAL SIGNALS" @default.
- W1574341018 cites W1507544250 @default.
- W1574341018 cites W2099323304 @default.
- W1574341018 cites W2145044818 @default.
- W1574341018 doi "https://doi.org/10.5220/0001536703640367" @default.
- W1574341018 hasPublicationYear "2009" @default.
- W1574341018 type Work @default.
- W1574341018 sameAs 1574341018 @default.
- W1574341018 citedByCount "0" @default.
- W1574341018 crossrefType "proceedings-article" @default.
- W1574341018 hasAuthorship W1574341018A5024923159 @default.
- W1574341018 hasAuthorship W1574341018A5088770647 @default.
- W1574341018 hasConcept C111168008 @default.
- W1574341018 hasConcept C111919701 @default.
- W1574341018 hasConcept C11413529 @default.
- W1574341018 hasConcept C121332964 @default.
- W1574341018 hasConcept C154945302 @default.
- W1574341018 hasConcept C158622935 @default.
- W1574341018 hasConcept C162324750 @default.
- W1574341018 hasConcept C2777303404 @default.
- W1574341018 hasConcept C28855332 @default.
- W1574341018 hasConcept C41008148 @default.
- W1574341018 hasConcept C50522688 @default.
- W1574341018 hasConcept C50644808 @default.
- W1574341018 hasConcept C62520636 @default.
- W1574341018 hasConcept C98045186 @default.
- W1574341018 hasConceptScore W1574341018C111168008 @default.
- W1574341018 hasConceptScore W1574341018C111919701 @default.
- W1574341018 hasConceptScore W1574341018C11413529 @default.
- W1574341018 hasConceptScore W1574341018C121332964 @default.
- W1574341018 hasConceptScore W1574341018C154945302 @default.
- W1574341018 hasConceptScore W1574341018C158622935 @default.
- W1574341018 hasConceptScore W1574341018C162324750 @default.
- W1574341018 hasConceptScore W1574341018C2777303404 @default.
- W1574341018 hasConceptScore W1574341018C28855332 @default.
- W1574341018 hasConceptScore W1574341018C41008148 @default.
- W1574341018 hasConceptScore W1574341018C50522688 @default.
- W1574341018 hasConceptScore W1574341018C50644808 @default.
- W1574341018 hasConceptScore W1574341018C62520636 @default.
- W1574341018 hasConceptScore W1574341018C98045186 @default.
- W1574341018 hasLocation W15743410181 @default.
- W1574341018 hasOpenAccess W1574341018 @default.
- W1574341018 hasPrimaryLocation W15743410181 @default.
- W1574341018 hasRelatedWork W1493707092 @default.
- W1574341018 hasRelatedWork W1689346920 @default.
- W1574341018 hasRelatedWork W1781893344 @default.
- W1574341018 hasRelatedWork W1965751126 @default.
- W1574341018 hasRelatedWork W1967746876 @default.
- W1574341018 hasRelatedWork W2028149099 @default.
- W1574341018 hasRelatedWork W2044988825 @default.
- W1574341018 hasRelatedWork W2110225178 @default.
- W1574341018 hasRelatedWork W2135719924 @default.
- W1574341018 hasRelatedWork W2150690754 @default.
- W1574341018 hasRelatedWork W2153232138 @default.
- W1574341018 hasRelatedWork W2157225572 @default.
- W1574341018 hasRelatedWork W2248324223 @default.
- W1574341018 hasRelatedWork W2389355558 @default.
- W1574341018 hasRelatedWork W2413005285 @default.
- W1574341018 hasRelatedWork W2546020493 @default.
- W1574341018 hasRelatedWork W2607376987 @default.
- W1574341018 hasRelatedWork W2752860440 @default.
- W1574341018 hasRelatedWork W2972424899 @default.
- W1574341018 hasRelatedWork W3119699820 @default.
- W1574341018 isParatext "false" @default.
- W1574341018 isRetracted "false" @default.
- W1574341018 magId "1574341018" @default.
- W1574341018 workType "article" @default.