K Beer - arXiv preprint arXiv:2205.08154, 2022 - arxiv.org
This PhD thesis combines two of the most exciting research areas of the last decades: quantum computing and machine learning. We introduce dissipative quantum neural …
PP Ray - Journal of King Saud University-Computer and …, 2022 - Elsevier
Resilience and flexibility are the means by which a network stands for an efficient service provider platform. Cognitive packet network (CPN) is such a paradigm that solely depends …
W Serrano - Neural Computing and Applications, 2020 - Springer
Judgments are taken in a structured way; both human and business management decisions involve a hierarchical process that requires a level of compromise between risk, cost …
This paper proposes a Neurocomputing application that reorders the Web results obtained from different Web Search Engines emulating the way our brain takes decisions. The …
W Serrano - Advances in Big Data: Proceedings of the 2nd INNS …, 2017 - Springer
The need to search for specific information or products in the ever expanding Internet has led the development of Web search engines and recommender systems. Whereas their …
W Serrano, E Gelenbe - … Decision Technologies 2017: Proceedings of the …, 2018 - Springer
Abstract We propose the Random Neural Network with Deep Learning Clusters that emulates the way the brain takes decisions. We apply our model to measure and evaluate …
Web users are not assured that the results provided by Web search engines or recommender systems are either exhaustive, or even the most relevant to their search …
W Serrano, E Gelenbe - 2017 Intelligent Systems Conference …, 2017 - ieeexplore.ieee.org
This paper proposes an Intelligent Search Assistant (ISA) that emulates a brain learning structure based on the Random Neural Network with Deep Learning clusters. Our ISA …
R Lent - Neural Computing and Applications, 2019 - Springer
We propose a reinforcement learning scheme for random neural networks (RNN) that update network weights based on the relative reward obtained by past actions. This new …