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Interval-Valued Neural Multi-adjoint Logic Programs.

, , and . IWINAC (1), volume 3561 of Lecture Notes in Computer Science, page 518-527. Springer, (2005)

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MREM, Discrete Recurrent Network for Optimization., , and . Encyclopedia of Artificial Intelligence, IGI Global, (2009)Interval-Valued Neural Multi-adjoint Logic Programs., , and . IWINAC (1), volume 3561 of Lecture Notes in Computer Science, page 518-527. Springer, (2005)Global-local learning strategies in probabilistic principal components analysis., , , , and . Artificial Intelligence and Soft Computing, page 46-51. IASTED/ACTA Press, (2006)Hebbian Iterative Method for Unsupervised Clustering with Automatic Detection of the Number of Clusters with Discrete Recurrent Networks., and . CAEPIA, volume 4177 of Lecture Notes in Computer Science, page 241-250. Springer, (2005)K -Pages Graph Drawing with Multivalued Neural Networks., , , and . ICANN (2), volume 4669 of Lecture Notes in Computer Science, page 816-825. Springer, (2007)Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks., , , and . KI, volume 4667 of Lecture Notes in Computer Science, page 397-411. Springer, (2007)Modelling competitive Hopfield networks for the maximum clique problem., , and . Comput. Oper. Res., 30 (4): 603-624 (2003)An accelerated-time simulation of car traffic on a motorway using a CAS., , , , and . Math. Comput. Simul., (2014)A neural implementation of multi-adjoint logic programming., , and . J. Appl. Log., 2 (3): 301-324 (2004)Enhanced maxcut clustering with multivalued neural networks and functional annealing., , and . ESANN, page 25-30. (2006)