Perception management class lectures_62831426-Perception

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Institute for Advanced Management Systems ResearchDepartment of Information TechnologiesAbo Akademi UniversityThe Perception Learning Rule - TutorialRobert FullerDirectory Table of Contents Begin Articlec 2010November 4, 2010rfuller@abo.fiTable of Contents1. Artificial neural networks2. The perception learning rule3. The perceptron learning algorithm4. Illustration of the perceptron learning algorithm31. Artificial neural networksArtificial neural systems can be considered as simplified mathematical models of brain-like systems and they function as parallel distributed computing networks.However, in contrast to conventional computers, which are programmed to perform specific task, most neural networks mustbe taught, or trained.They can learn new associations, new functional dependenciesand new patterns. Although computers outperform both biological and artificial neural systems for tasks based on preciseand fast arithmetic operations, artificial neural systems represent the promising new generation of information processingnetworks. The study of brain-style computation has its rootsTocJJIIJIBackJ DocDoc ISection 1: Artificial neural networks4over 50 years ago in the work of McCulloch and Pitts (1943)and slightly later in Hebbs famous Organization of Behavior(1949).The early work in artificial intelligence was torn between thosewho believed that intelligent systems could best be built oncomputers modele

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