Engineering Applications of Neural Networks by Giacomo Boracchi

Three networks have been designed and trained using this data set, and experiments prove the benefits of the proposed approach. A novel experimental setup has been deployed in a touristic beach of Santorini island, Greece, to collect high-frequency morphological and hydrodynamic information, and to generate a data set described by few representative input variables.

Beach realignment estimates have been improved by modifying the existing mutation and crossover operations of the standard algorithm. The authors propose a neuro-fuzzy multilayer ANN for modeling this complex phenomenon and a novel backtracking search algorithm to optimize this model. This paper studies the phenomenon of beach realignment, which is caused by the ever-changing incident waves that move sediments along and across beaches. This is an interesting environmental AI modeling effort. Specifically, we present an O(kn)-time and O(n)-space algorithm to achieve this along with the pseudocode of an implementation.The fifth paper “Modeling of Beach Realignment Using a Neuro-Fuzzy Network Optimized by a Novel Backtracking Search Algorithm” is authored by Antonios Chatzipavlis, George Tsekouras, Vasilis Trygonis, Adonis Velegrakis, John Tsimikas, Anastasios Rigos, Thomas Hasiotis, and Constantinos Salmas, from the University of the Aegean Greece. We then address the problem of identifying whether or not a given string of length n over an integer alphabet is k-closed and additionally specifying the border resulting in the string being k-closed. In this paper, we extend this definition to k-closed strings, for which a level of approximation is permitted up to a number of Hamming distance errors, set by the parameter k. Closed strings were introduced by Fici (WORDS 2011) as objects of combinatorial interest. Specifically, we present an O(kn)-time and O(n)-space algorithm to achieve this along with the pseudocode of an implementation.ĪB - A closed string contains a proper factor occurring as both a prefix and a suffix but not elsewhere in the string.

N2 - A closed string contains a proper factor occurring as both a prefix and a suffix but not elsewhere in the string. T1 - Efficient identification of k-closed strings

Engineering Applications of Neural Networks by Giacomo Boracchi