A NONLINEAR MODEL FOR A SMART SEMANTIC BROWSER BOT FOR A TEXT ATTRIBUTE RECOGNITION
| Autor: | D. Pacheco Bautista, J. Patiño Ortiz, S. L. Gomez Coronel, R. Carreño Aguilera, M. A. Acevedo Mosqueda, M. E. Acevedo Mosqueda, I. Algredo Badillo, M. A. Martinez Cruz, M. Patiño Ortiz |
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| Rok vydání: | 2020 |
| Předmět: |
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Computer science Applied Mathematics 02 engineering and technology computer.software_genre Expert system 03 medical and health sciences 0302 clinical medicine Order (business) Human–computer interaction Modeling and Simulation Nonlinear model 0202 electrical engineering electronic engineering information engineering Spite 020201 artificial intelligence & image processing Geometry and Topology State (computer science) Applications of artificial intelligence computer 030217 neurology & neurosurgery |
| Zdroj: | Fractals. 28:2050045 |
| ISSN: | 1793-6543 0218-348X |
| DOI: | 10.1142/s0218348x20500450 |
| Popis: | In spite of the advances in the state of the art in semantic artificial intelligence applications, there is still a long way to go to bring it to a level of mass adoption. Thus, in order to contribute to the advancement of this topic, this study develops a feasible model with a potential scalability for semantic applications’ mass adoption, specifically for news or statement cluster attribute identification, either positive, negative or neutral. This paper proposes a disruptive system based on Blockchain using a Semantic Browser Expert System Bot with artificial intelligence called Blockchain Semantic Browser Expert System (BSBES) to look for and analyze relevant information that significantly represents the cryptocurrencies adoption patterns. The artificial intelligence in this study consists of a deep learning neural network to process the input information to identify the news pattern in a semantic way using deep learning based on two aspects of the news: technical aspect and adoption aspect of the cryptocurrencies. BSBES performance is achieved based on deep learning tools, and scalability is supported by a blockchain system including a stability study. |
| Databáze: | OpenAIRE |
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