FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2917810995> ?p ?o ?g. }

• W2917810995 abstract "Feed-forward, fully-connected Artificial Neural Networks (ANNs) or the so-called Multi-Layer Perceptrons (MLPs) are well-known universal approximators. However, their learning performance varies significantly depending on the function or the solution space that they attempt to approximate. This is mainly because of their homogenous configuration based solely on the linear neuron model. Therefore, while they learn very well those problems with a monotonous, relatively simple and linearly separable solution space, they may entirely fail to do so when the solution space is highly nonlinear and complex. Sharing the same linear neuron model with two additional constraints (local connections and weight sharing), this is also true for the conventional Convolutional Neural Networks (CNNs) and, it is, therefore, not surprising that in many challenging problems only the deep CNNs with a massive complexity and depth can achieve the required diversity and the learning performance. In order to address this drawback and also to accomplish a more generalized model over the convolutional neurons, this study proposes a novel network model, called Operational Neural Networks (ONNs), which can be heterogeneous and encapsulate neurons with any set of operators to boost diversity and to learn highly complex and multi-modal functions or spaces with minimal network complexity and training data. Finally, a novel training method is formulated to back-propagate the error through the operational layers of ONNs. Experimental results over highly challenging problems demonstrate the superior learning capabilities of ONNs even with few neurons and hidden layers." @default.
• W2917810995 created "2019-03-02" @default.
• W2917810995 creator A5005099415 @default.
• W2917810995 creator A5046496769 @default.
• W2917810995 creator A5047979812 @default.
• W2917810995 creator A5090636507 @default.
• W2917810995 date "2019-02-15" @default.
• W2917810995 modified "2023-09-27" @default.
• W2917810995 title "Operational Neural Networks" @default.
• W2917810995 cites W1498436455 @default.
• W2917810995 cites W1562895369 @default.
• W2917810995 cites W1569512666 @default.
• W2917810995 cites W1578062088 @default.
• W2917810995 cites W1808966389 @default.
• W2917810995 cites W182571476 @default.
• W2917810995 cites W1861492603 @default.
• W2917810995 cites W1901129140 @default.
• W2917810995 cites W1903029394 @default.
• W2917810995 cites W1915360731 @default.
• W2917810995 cites W1995341919 @default.
• W2917810995 cites W2008027377 @default.
• W2917810995 cites W2011377831 @default.
• W2917810995 cites W2015304908 @default.
• W2917810995 cites W2021150359 @default.
• W2917810995 cites W2066792007 @default.
• W2917810995 cites W2084029682 @default.
• W2917810995 cites W2089029279 @default.
• W2917810995 cites W2098477387 @default.
• W2917810995 cites W2122950314 @default.
• W2917810995 cites W2126487187 @default.
• W2917810995 cites W2145094598 @default.
• W2917810995 cites W2155482699 @default.
• W2917810995 cites W2474608001 @default.
• W2917810995 cites W2508419234 @default.
• W2917810995 cites W2546712344 @default.
• W2917810995 cites W2554423077 @default.
• W2917810995 cites W2555182955 @default.
• W2917810995 cites W2604607385 @default.
• W2917810995 cites W2734444710 @default.
• W2917810995 cites W2766341514 @default.
• W2917810995 cites W2796495430 @default.
• W2917810995 cites W2886351808 @default.
• W2917810995 cites W2962746461 @default.
• W2917810995 cites W2962793481 @default.
• W2917810995 cites W2963073614 @default.
• W2917810995 cites W2963840672 @default.
• W2917810995 cites W2964046397 @default.
• W2917810995 cites W2964081807 @default.
• W2917810995 cites W3121926921 @default.
• W2917810995 cites W607572140 @default.
• W2917810995 hasPublicationYear "2019" @default.
• W2917810995 type Work @default.
• W2917810995 sameAs 2917810995 @default.
• W2917810995 citedByCount "2" @default.
• W2917810995 countsByYear W29178109952019 @default.
• W2917810995 countsByYear W29178109952021 @default.
• W2917810995 crossrefType "posted-content" @default.
• W2917810995 hasAuthorship W2917810995A5005099415 @default.
• W2917810995 hasAuthorship W2917810995A5046496769 @default.
• W2917810995 hasAuthorship W2917810995A5047979812 @default.
• W2917810995 hasAuthorship W2917810995A5090636507 @default.
• W2917810995 hasConcept C108583219 @default.
• W2917810995 hasConcept C111472728 @default.
• W2917810995 hasConcept C121332964 @default.
• W2917810995 hasConcept C138885662 @default.
• W2917810995 hasConcept C154945302 @default.
• W2917810995 hasConcept C158622935 @default.
• W2917810995 hasConcept C177264268 @default.
• W2917810995 hasConcept C199360897 @default.
• W2917810995 hasConcept C2780586882 @default.
• W2917810995 hasConcept C38365724 @default.
• W2917810995 hasConcept C41008148 @default.
• W2917810995 hasConcept C50644808 @default.
• W2917810995 hasConcept C60908668 @default.
• W2917810995 hasConcept C62520636 @default.
• W2917810995 hasConcept C81363708 @default.
• W2917810995 hasConceptScore W2917810995C108583219 @default.
• W2917810995 hasConceptScore W2917810995C111472728 @default.
• W2917810995 hasConceptScore W2917810995C121332964 @default.
• W2917810995 hasConceptScore W2917810995C138885662 @default.
• W2917810995 hasConceptScore W2917810995C154945302 @default.
• W2917810995 hasConceptScore W2917810995C158622935 @default.
• W2917810995 hasConceptScore W2917810995C177264268 @default.
• W2917810995 hasConceptScore W2917810995C199360897 @default.
• W2917810995 hasConceptScore W2917810995C2780586882 @default.
• W2917810995 hasConceptScore W2917810995C38365724 @default.
• W2917810995 hasConceptScore W2917810995C41008148 @default.
• W2917810995 hasConceptScore W2917810995C50644808 @default.
• W2917810995 hasConceptScore W2917810995C60908668 @default.
• W2917810995 hasConceptScore W2917810995C62520636 @default.
• W2917810995 hasConceptScore W2917810995C81363708 @default.
• W2917810995 hasLocation W29178109951 @default.
• W2917810995 hasOpenAccess W2917810995 @default.
• W2917810995 hasPrimaryLocation W29178109951 @default.
• W2917810995 hasRelatedWork W198297839 @default.
• W2917810995 hasRelatedWork W2181028625 @default.
• W2917810995 hasRelatedWork W2289504355 @default.
• W2917810995 hasRelatedWork W2463256602 @default.
• W2917810995 hasRelatedWork W2507936800 @default.
• W2917810995 hasRelatedWork W2734574836 @default.

• next