C G Moore - Böcker
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I am Cal Adams what does that mean? Sixteen years old. Black hair. Blue eyes. Short. Gay. For Cal, coming out is explosive, but that is nothing compared to the fallout from his family, friends and foes. When events in Cal's life reach critical, he is shaken to his core. Can he rely on his loved ones to help avoid meltdown? AGES: 14 plus
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At school,I learned that words,More than weapons,Could destroy bodies,Could break heartsMore than fists or fury. This is the story of Chris, what happened to him at age eleven and how that would change the rest of his life. A life-affirming and powerful coming of age verse novel that shines a light on chronic illness, who we are and how we live.Familial adenomatous polyposisfəˈmɪljəl ædɪˈnəʊmətəs pɑləˈpousɪsnounAn inherited disorder characterised by the rapid growth of small, pre-cancerous polyps in the large intestines.
Del 6 - World Scientific Series In Robotics And Intelligent Systems
Intelligent Control: Aspects Of Fuzzy Logic And Neural Nets
Inbunden, Engelska, 1993
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With increasing demands for high precision autonomous control over wide operating envelopes, conventional control engineering approaches are unable to adequately deal with system complexity, nonlinearities, spatial and temporal parameter variations, and with uncertainty. Intelligent Control or self-organising/learning control is a new emerging discipline that is designed to deal with problems. Rather than being model based, it is experiential based. Intelligent Control is the amalgam of the disciplines of Artificial Intelligence, Systems Theory and Operations Research. It uses most recent experiences or evidence to improve its performance through a variety of learning schemas, that for practical implementation must demonstrate rapid learning convergence, be temporally stable, be robust to parameter changes and internal and external disturbances. It is shown in this book that a wide class of fuzzy logic and neural net based learning algorithms satisfy these conditions. It is demonstrated that this class of intelligent controllers is based upon a fixed nonlinear mapping of the input (sensor) vector, followed by an output layer linear mapping with coefficients that are updated by various first order learning laws. Under these conditions self-organising fuzzy logic controllers and neural net controllers have common learning attributes.A theme example of the navigation and control of an autonomous guided vehicle is included throughout, together with a series of bench examples to demonstrate this new theory and its applicability.