Redes neuronales y sistemas difusos PDF Download

Author: Bonifacio Martín del Brío
Publisher:
ISBN: 9789586824422
Category : Neural networks (Computer science)
Languages : es
Pages : 399

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Author: Bonifacio Martín del Brío
Publisher: Editorial Ra-Ma
ISBN: 9788478977437
Category : Computers
Languages : es
Pages : 404

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Los sistemas digitales de cómputo actuales presentan problemas al abordar tareas del mundo real, donde la información es masiva, redundante e imprecisa. Por ello, desde hace unos años se vienen proponiendo nuevos modelos de procesamiento inspirados en las soluciones encontradas por la naturaleza durante millones de años de evolución, que podrían ayudar a resolver importantes problemas tecnológicos como los de visión, habla, control e inteligencia artificial. De entre estos nuevos modelos destacan las redes neuronales artificiales, que imitan la estructura del cerebro para reproducir algunas de sus capacidades y aprenden a realizar tareas a partir de ejemplos. Por otro lado, los sistemas borrosos (fuzzy) emulan el razonamiento aproximado de nuestro cerebro, permitiendo manejar conceptos vagos e imprecisos como los empleados en la vida cotidiana. Ambos modelos, junto con otros como los algoritmos genéticos, se enmarcan en la denominada inteligencia computacional o soft computing, complementando disciplinas clásicas como el tratamiento de señal o la inteligencia artificial, aplicándose ya a problemas muy diversos como reconocimiento de caracteres, electrodomésticos inteligentes, procesado de imagen, predicción bursátil, etc. Este libro se dirige a todo aquel que esté interesado en iniciarse en estas cuestiones, especialmente estudiantes, docentes y personal de la empresa; el único requisito es contar con una mínima base matemática, como la adquirida en estudios de ciencias, ingenierías o económicas. La primera edición (1997) fue el primer libro en español dedicado a ambos temas; desde entonces ha sido adoptado como texto de clase en diversas universidades españolas y americanas. En esta tercera edición (2006) se han actualizado algunos de sus capítulos y referencias bibliográficas, añadiéndose algunos modelos novedosos. "Redes Neuronales y Sistemas Borrosos supone una valiosa contribución a la literatura de la soft computing y de los sistemas neuroborrosos. Su fácil lectura, amplio tratamiento de ejemplos reales, y la gran competencia de los autores en la materia, hacen de este texto una importante fuente de información para todo aquel interesado en comprender y familiarizarse con las herramientas básicas que proporcionan las metodologías neuronales y borrosas. Los autores y la editorial merecen nuestro agradecimiento y aplauso". Prof. Lotfi A. Zadeh, catedrático emérito de la Universidad de California en Berkeley.

Author: José D. Martín
Publisher: Universal-Publishers
ISBN: 158112113X
Category : Psychology
Languages : en
Pages : 113

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Se analiza el uso de redes neuro-difusas para solucionar problemas de clasificación y modelización. El objetivo es intentar combinar las cualidades de las redes neuronales y de la descripción de sistemas mediante Lógica Difusa. Las redes neuronales son conocidas por su alta capacidad de aprendizaje, lo que permite una adecuada generalización en el tipo de problemas comentado anteriormente. Su aplicación a problemas reales no ha dejado de crecer durante los últimos años. Por otro lado, la Lógica Difusa es una herramienta más novedosa, cuya propiedad más atractiva es la capacidad que posee de poder tratar con variables numéricas y variables lingüísticas simultáneamente. Las variables lingüísticas permiten un tratamiento del problema más comprensible y cercano al conocimiento intuitivo humano. Una de las principales ventajas de la combinación de estas disciplinas es la posibilidad de interpretar los resultados obtenidos por una red neuronal, pudiendo extraer conocimiento de ella. Clásicamente, las redes neuronales han sido conocidas como sistemas que podían proporcionar excelentes resultados pero que tenían el principal inconveniente de ser cajas negras, de donde era imposible obtener unas reglas de comportamiento debido a la complejidad de sus conexiones internas. De esta manera, la Lógica Difusa abre una puerta a esta posibilidad. (Complete work in Spanish) The use of Neuro-Fuzzy Networks is analysed for solving classification and modelisation problems. The objective is to combine the properties of Neural Networks with the systems' description by using Fuzzy Logic. The ability of learning of Neural Networks implies a good generalisation features. Their application to real problems has grown during the last years. On the other hand, Fuzzy Logic is a recent tool, whose most attractive property is the ability for working with numeric and linguistic variables simultanously. Linguistic variables allow the user to treat problems in a more understandable way since they are near to human knowledge. One of the main advantages of the proposed combination is the possibility of interpreting the results obtained by Neural Networks since we can extract information of Neural Networks by using Fuzzy Logic. This information will be estructured in fuzzy rules of the type "If-Then". Typically, Neural Networks have been known as systems capable to get excellent results but with the main drawback of their black-box behaviour. Thus, it was impossible to extract rules of their behaviour or learning because of the complex internal connections. Fuzzy Logic offers a feasible exit for this problem.

Author: Eugenio García San Martín
Publisher:
ISBN:
Category :
Languages : es
Pages :

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Author: Bonifacio Martín del Brío
Publisher:
ISBN: 9788478972784
Category : Neural networks (Computer science)
Languages : es
Pages : 387

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Author: Grigori Sidorov
Publisher: Springer
ISBN: 364216773X
Category : Computers
Languages : en
Pages : 536

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Artificial intelligence (AI) is a branch of computer science that models the human ability of reasoning, usage of human language and organization of knowledge, solving problems and practically all other human intellectual abilities. Usually it is characterized by the application of heuristic methods because in the majority of cases there is no exact solution to this kind of problem. Soft computing can be viewed as a branch of AI that deals with the problems that explicitly contain incomplete or complex information, or are known to be impossible for direct computation, i.e., these are the same problems as in AI but viewed from the perspective of their computation. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. In 2010, SMIA celebrated 10 years of activity related to the organization of MICAI as is represented in its slogan “Ten years on the road with AI”. MICAI conferences traditionally publish high-quality papers in all areas of artificial intelligence and its applications. The proceedings of the previous MICAI events were also published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vols. 1793, 2313, 2972, 3789, 4293, 4827, 5317, and 5845. Since its foundation in 2000, the conference has been growing in popularity and improving in quality.

Author: Jesús Marín Sánchez
Publisher:
ISBN:
Category :
Languages : es
Pages :

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Author: Alberto Ochoa-Zezzatti
Publisher: Springer Nature
ISBN: 3030686639
Category : Technology & Engineering
Languages : en
Pages : 340

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This book includes chapters related to the analysis of cultural differences as a tool to enrich tacit knowledge and make processes more efficient, the factors that influence job satisfaction and the value of social capital as a competitive strategy to achieve productivity and competitiveness of organizations, in addition to research of the utmost importance to discover the facets of the diamond with respect to the symbolic capital of the organizations where Generation Z will work and how it will discover the best time to establish an innovation ecosystem that will influence its work trajectory. Industry 4.0 requires a major paradigm shift, since human capital is a source of competitive advantage. Being competitive enables to a company, a region, a society or a country the power to advance in different areas, contributing to the benefit of a social group, therefore, and organizations need to make efforts that lead to adding value and generate a competitive advantage. Industrial applications based on artificial intelligence can change our lives in just one generation. The chapters in this book show progress and challenges related to real-world applications, as well as the need to strengthen human capital to achieve systemic and comprehensive competitiveness required in the XXI century.

Author: Max Bramer
Publisher: Springer Science & Business Media
ISBN: 0387346546
Category : Computers
Languages : en
Pages : 513

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The papers in this volume comprise the refereed proceedings of the conference 'Artificial Intelligence in Theory and Practice' (IFIP AI 2006), which formed part of the 19th World Computer Congress of IFIP, the International Federation for Information Processing (WCC- 2006), in Santiago, Chile in August 2006. The conference is organised by the IFIP Technical Committee on Artificial Intelligence (Technical Committee 12) and its Working Group 12.5 (Artificial Intelligence Applications). All papers were reviewed by at least two members of our Programme Committee. The best papers were selected for the conference and are included in this volume. The international nature of IFIP is amply reflected in the large number of countries represented here. The conference featured invited talks by Rose Dieng, John Atkinson, John Debenham and myself. IFIP AI 2006 also included the Second IFIP Symposium on Professional Practice in Artificial Intelligence, organised by Professor John Debenham, which ran alongside the refereed papers. I should like to thank the conference chair. Professor Debenham for all his efforts in organising the Symposium and the members of our programme committee for reviewing an unexpectedly large number of papers to a very tight deadline. This is the latest in a series of conferences organised by IFIP Technical Committee 12 dedicated to the techniques of Artificial Intelligence and their real-world applications. The wide range and importance of these applications is clearly indicated by the papers in this volume. Further information about TCI 2 can be found on our website http://www.ifiptcl2.org.

Author: Juan Carlos Figueroa-García
Publisher: Springer
ISBN: 3319508806
Category : Computers
Languages : en
Pages : 417

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This book constitutes the refereed proceedings of the Third Workshop on Engineering Applications, WEA 2016, held in Bogotá, Colombia, in September 2016. The 35 revised full papers presented were carefully reviewed and selected from 128 submissions. The papers are organized in topical sections on computer science; computational intelligence; simulation systems; fuzzy sets and systems; power systems; miscellaneous applications.