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A Projection Neuronal Smart WEB

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Management, Tourism and Smart Technologies (ICMTT 2023)

Abstract

Technologies allow the application of knowledge in order to generate solutions to improve the quality of life of human beings. Every day these technologies advance faster, they do not stop, allowing technological innovations to be generated, such as the advances made in artificial intelligence and its applications in different technological tools. Throughout time, since the creation of the Internet, technologies have been developed and implemented that have enabled the evaluation of web 1.0, 2.0, 3.0 (semantic web) and projections to new technological proposals. Among these new technological developments are neural networks that have promoted the management and administration of information. As a model of artificial intelligence, artificial neural networks (RNAs) simulate the behavior of neurons and the neural synapse to solve problems, while not an identical replica, at least it simulates part of the behavior. The studies carried out by Santiago Ramón y Cajal in 1911, through anatomy, made it possible to reveal the structure of nervous tissue in the constitution of the brain, the processing and transmission of information from the transmitter to the receptor, giving adequate response to stimuli. The nervous system is quite complex and even though great efforts have been made in its study, science is still far from fully understanding it. Artificial intelligence models have been supporting new technologies to solve problems, this article presents a proposal for the implementation of one of the artificial intelligence models such as artificial neural networks to the web, generating a new model that projects the intelligent neural web or Web 4.0.

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Correspondence to Breed Yeet Alfonso Corredor .

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Corredor, B.Y.A., Crespo, R.G., Marín, C.E.M., Martelo, C.A.S. (2024). A Projection Neuronal Smart WEB. In: Montenegro, C., Rocha, Á., Cueva Lovelle, J.M. (eds) Management, Tourism and Smart Technologies. ICMTT 2023. Lecture Notes in Networks and Systems, vol 773. Springer, Cham. https://doi.org/10.1007/978-3-031-44131-8_33

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