Neural nets : a theory for brains and machines / A.F. Rocha.

By: Rocha, A. F. (Armando Freitas), 1946-
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 638.; Lecture notes in computer science: Publisher: Berlin ; New York : Springer-Verlag, ©1992Description: 1 online resource (xv, 393 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540473176; 3540473173Subject(s): Neural networks (Computer science) | Brain -- Physiology | Models, Neurological | Nerve Net | Neural Networks, Computer | Neural Pathways -- physiology | Réseaux neuronaux (Informatique) | Cerveau -- Physiologie | Brain -- Physiology | Neural networks (Computer science) | Neurale netwerken | Neuronales Netz | Réseaux neuronaux (physiologie)Genre/Form: Electronic books. Additional physical formats: Print version:: No titleDDC classification: 006.3 LOC classification: QA76.87 | .R63 1992Other classification: 54.72 Online resources: Click here to access online Action note: digitized 2010 committed to preserveSummary: The purpose of this book is to develop neural nets as a strong theory for both brains and machines. The theory is developed in close correlation with the biology of the neuron and the properties of human reasoning. This approach implies the following: - Updating the biology of the artificialneuron. The neurosciences have experienced a tremendous development in the last 50 years. One of the main purposes of the present work is toincorporate this knowledge into a strong model of the artificial neuron. Particular attention is devoted to formalizing the complex chemical processes at the synaptic level. This formal language supports both symbolicreasoning and uncertainty processing. - Investigating the properties of expert reasoning. This kind of reasoning is approximate, partial and non-monotonic, and therefore requires special mathematical tools for its formalization, such as fuzzy set theory and fuzzy logic. Three different intelligent systems developed with this technology are presented and discussed.
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Includes bibliographical references (pages 367-385) and index.

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The purpose of this book is to develop neural nets as a strong theory for both brains and machines. The theory is developed in close correlation with the biology of the neuron and the properties of human reasoning. This approach implies the following: - Updating the biology of the artificialneuron. The neurosciences have experienced a tremendous development in the last 50 years. One of the main purposes of the present work is toincorporate this knowledge into a strong model of the artificial neuron. Particular attention is devoted to formalizing the complex chemical processes at the synaptic level. This formal language supports both symbolicreasoning and uncertainty processing. - Investigating the properties of expert reasoning. This kind of reasoning is approximate, partial and non-monotonic, and therefore requires special mathematical tools for its formalization, such as fuzzy set theory and fuzzy logic. Three different intelligent systems developed with this technology are presented and discussed.

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