Competing makes it possible that even after new neurons have been added to the architecture, existing neurons can still learn if the incoming data is similar to that of the stored information, and this sets up a major difference with the existing constructive neural network algorithms. The new ...
Natural language processing algorithms are employed to extract key terms from titles and abstracts of papers without keywords, which are then normalized and visualized through VOSviewer Clustering Workbench to reveal the underlying structure of complex networks. Analysis of zero trust in IoT The analysis...
Several approaches, assumptions and algorithms for calculating a MAF have been suggested in the literature and are scrutinized in the chapter “Review of methods applied to derive the size of a MAF”. In principle, the MAF is a pre-defined fixed factor to adjust the risk characterization ratio....
As not all of the solutions produced are optimal but close to the optimality, this method is suitable for use ingenerating initial solutions for population-based meta-heuristics such as Genetic Algorithms and Artificial Immune System. Good initial solutions are important for later search methods to ...
Although ideas about artificial neural networks and learning algorithms have circulated since the 1940s (McCulloch and Pitts 1943), connectionism truly rose to prominence through the speed of twenty-first century computer chips combined with internet-age amounts of training data (Miikkulainen et al...
Methods: In the process of improving the test, project experts explored and compared drawing evaluation services, but none satisfied the criteria. In order to create a fundamentally new AI model, experts analyzed 10,000 pictures and prepared algorithms to train the experimental AI model. As a res...
Data driven constructive induction IEEE Intelligent Systems (1998) P. Brazdil, J. Gama, B. Henery, Characterizing the applicability of classification algorithms using meta-level... C.E. Brodley Recursive automatic bias selection for classifier construction Machine Learning (1995)View more references ...
Geller RJ, Hara T (1993) Two efficient algorithms for iterative linearized inversion of seismic waveform data. Geophys J Int 115(3):699–710 ArticleGoogle Scholar Grekova EF, Porubov AV, dell’Isola F (2020) Reduced linear constrained elastic and viscoelastic homogeneous cosserat media as acoust...
Introduction Elementary flux modes discribe all possible flux distributions in a metabolic network under steady state conditions, acting as a minimal constructive basis of the solution space. The algorithms to compute EFMs originate from computational geometry, where the problem is known as enumeration ...
Algorithms for properly transmitting and subsequently recombining the MIMO transmitted data at the receiver must be conceived and transmitted along with the MIMO data for such systems to properly function. MIMO systems theoretically double the spectral efficiency compared with that of single transmit ...