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.
Main Authors: | , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
KOHA-OAI-TEST:201294 |
---|---|
record_format |
koha |
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 |
work_keys_str_mv |
AT rochaarmandofreitasdaauthor neuralnetselectronicresourceatheoryforbrainsandmachines AT springerlinkonlineservice neuralnetselectronicresourceatheoryforbrainsandmachines |
_version_ |
1756267544578097152 |