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Item type:Publication, Filosofía de la educación en México : selección de pensadores, ideas e influencias desde una perspectiva histórica(Universidad Panamericana, Escuela de Pedagogía, 2015); ;Villalobos Torres, Elvia Marveya; MÓNICA DEL CARMEN MEZA MEJÍA;215958MX40 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Afectividad y confianza en el conocimiento personal : desenmascarar el autoengaño(Panorama, 2016)Roqueñí Rello, José ManuelMX11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Educación comparada : comparando en educación(Minos Tercer Milenio, 2014)Villalobos Torres, Elvia MarveyaMX3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 32 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Competencias para la acción educativa(Minos Tercer Milenio, 2010) ;Villalobos Torres, Elvia MarveyaBaptista-Lucio, M. PilarMX14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, La educación de la afectividad en México : orígenes y perspectivas(Porrúa, 2012)Roqueñí Rello, José ManuelGDL10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robótica aplicada con LabVIEW y LEGO(Alfaomega, 2015); ;HIRAM EREDIN PONCE ESPINOSA;376768Campus Ciudad de MéxicoEl objetivo de esta obra es mostrar de forma teórica y práctica las técnicas más importantes utilizadas en la academia y la industria para el desarrollo de sistemas robóticos, y para esto se exponen desde los conceptos básicos de robótica hasta los algoritmos de control y las técnicas de planificación de trayectorias. En especial, se hace uso de los sistemas robóticos LEGO Mindstorms NXT junto con la plataforma de desarrollo LabVIEW. Aprenda qué es un robot LEGO NXT y cual es el entorno de programación NXT. Conozca los sistemas de control empleando robots NXT, así como el entorno de programación de los LEGO Mindstorms. Desarrolle sus propias aplicaciones de planificación de ruta de planificación de trayectorias con espacios variantes en el tiempo. ©2015 Alfaomega.37 107 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Artificial organic networks : artificial intelligence based on carbon networks(Springer, 2014); ;HIRAM EREDIN PONCE ESPINOSA;376768Campus Ciudad de MéxicoThis monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks (AHNs) for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and then, via some conventional ideas of organic chemistry, to the creation and characterization of artificial organic networks and AHNs in particular. The advantages of using organic networks are discussed with the rules to be followed to adapt the network to its objectives. Graph theory is used as the basis of the necessary formalism. Simulated and experimental examples of the use of fuzzy logic and genetic algorithms with organic neural networks are presented and a number of modeling problems suitable for treatment by AHNs are described: · approximation; · inference; · clustering; · control; · classification; and · audio-signal filtering. The text finishes with a consideration of directions in which AHNs could be implemented and developed in future. A complete LabVIEW™ toolkit, downloadable from the book’s page at springer.com enables readers to design and implement organic neural networks of their own. The novel approach to creating networks suitable for machine learning systems demonstrated in Artificial Organic Networks will be of interest to academic researchers and graduate students working in areas associated with computational intelligence, intelligent control, systems approximation and complex networks. ©2014 Springer.71 55 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Nature-inspired computing for control systems(Springer, 2016)The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering. ©2016 © 2022 Springer Nature Switzerland AG. Part of Springer Nature.29 29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Ultrafine-grain Steels: Mechanical Behavior(2016) ;Quintana Hernández, María José; MARÍA JOSÉ QUINTANA HERNÁNDEZ;576914In recent years, both the steelmaking industry and laboratories in different parts of the world, have shown an increasing interest in reaching an industrial-level production of ultrafine grained steels (also known as ultrafine ferrite), which have a grain size d lower than 5 μm, and enhanced mechanical resistance and fracture toughness. At room temperature, the capacity of the material to be deformed during bending or drawing operations (typical of requirements for automotive parts applications) depends on the interaction of a hard and a soft phase in the microstructure. On the other hand, at high temperatures, these steels may show superplastic behavior if deformed at a precise combination of temperature and strain rate.17
