Neural Nets [electronic resource] : A Theory for Brains and Machines /

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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Bibliographic Details
Main Authors: Rocha, Armando Freitas da. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 1992
Subjects:Computer science., Neurosciences., Computers., Artificial intelligence., Bioinformatics., Computational biology., Biophysics., Biological physics., Complexity, Computational., Computer Science., Artificial Intelligence (incl. Robotics)., Complexity., Computer Appl. in Life Sciences., Computation by Abstract Devices., Biophysics and Biological Physics.,
Online Access:http://dx.doi.org/10.1007/3-540-55949-3
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spelling KOHA-OAI-TEST:2012942018-07-30T23:28:11ZNeural Nets [electronic resource] : A Theory for Brains and Machines / Rocha, Armando Freitas da. author. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg,1992.engThe 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.The neuron -- The synapsis electrical properties -- The synapsis the chemical processing -- Learning -- Investigating expertise -- Modular nets -- NEXTOOL: A MPNN classifying system -- JARGON a neural environment for language processing -- SMART KARDS (c): Object oriented MPNN environment -- Fuzzy sets and fuzzy logic.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.Computer science.Neurosciences.Computers.Artificial intelligence.Bioinformatics.Computational biology.Biophysics.Biological physics.Complexity, Computational.Computer Science.Artificial Intelligence (incl. Robotics).Neurosciences.Complexity.Computer Appl. in Life Sciences.Computation by Abstract Devices.Biophysics and Biological Physics.Springer eBookshttp://dx.doi.org/10.1007/3-540-55949-3URN:ISBN:9783540473176
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Computer science.
Neurosciences.
Computers.
Artificial intelligence.
Bioinformatics.
Computational biology.
Biophysics.
Biological physics.
Complexity, Computational.
Computer Science.
Artificial Intelligence (incl. Robotics).
Neurosciences.
Complexity.
Computer Appl. in Life Sciences.
Computation by Abstract Devices.
Biophysics and Biological Physics.
Computer science.
Neurosciences.
Computers.
Artificial intelligence.
Bioinformatics.
Computational biology.
Biophysics.
Biological physics.
Complexity, Computational.
Computer Science.
Artificial Intelligence (incl. Robotics).
Neurosciences.
Complexity.
Computer Appl. in Life Sciences.
Computation by Abstract Devices.
Biophysics and Biological Physics.
spellingShingle Computer science.
Neurosciences.
Computers.
Artificial intelligence.
Bioinformatics.
Computational biology.
Biophysics.
Biological physics.
Complexity, Computational.
Computer Science.
Artificial Intelligence (incl. Robotics).
Neurosciences.
Complexity.
Computer Appl. in Life Sciences.
Computation by Abstract Devices.
Biophysics and Biological Physics.
Computer science.
Neurosciences.
Computers.
Artificial intelligence.
Bioinformatics.
Computational biology.
Biophysics.
Biological physics.
Complexity, Computational.
Computer Science.
Artificial Intelligence (incl. Robotics).
Neurosciences.
Complexity.
Computer Appl. in Life Sciences.
Computation by Abstract Devices.
Biophysics and Biological Physics.
Rocha, Armando Freitas da. author.
SpringerLink (Online service)
Neural Nets [electronic resource] : A Theory for Brains and Machines /
description 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.
format Texto
topic_facet Computer science.
Neurosciences.
Computers.
Artificial intelligence.
Bioinformatics.
Computational biology.
Biophysics.
Biological physics.
Complexity, Computational.
Computer Science.
Artificial Intelligence (incl. Robotics).
Neurosciences.
Complexity.
Computer Appl. in Life Sciences.
Computation by Abstract Devices.
Biophysics and Biological Physics.
author Rocha, Armando Freitas da. author.
SpringerLink (Online service)
author_facet Rocha, Armando Freitas da. author.
SpringerLink (Online service)
author_sort Rocha, Armando Freitas da. author.
title Neural Nets [electronic resource] : A Theory for Brains and Machines /
title_short Neural Nets [electronic resource] : A Theory for Brains and Machines /
title_full Neural Nets [electronic resource] : A Theory for Brains and Machines /
title_fullStr Neural Nets [electronic resource] : A Theory for Brains and Machines /
title_full_unstemmed Neural Nets [electronic resource] : A Theory for Brains and Machines /
title_sort neural nets [electronic resource] : a theory for brains and machines /
publisher Berlin, Heidelberg : Springer Berlin Heidelberg,
publishDate 1992
url http://dx.doi.org/10.1007/3-540-55949-3
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