Narrow your search

Library

KBR (3)

KU Leuven (2)

UGent (2)

Hogeschool Gent (1)

LUCA School of Arts (1)

Odisee (1)

Thomas More Kempen (1)

Thomas More Mechelen (1)

UCLouvain (1)

UCLL (1)

More...

Resource type

book (3)


Language

English (3)


Year
From To Submit

1992 (3)

Listing 1 - 3 of 3
Sort by
Modeling brain function : the world of attractor neural networks
Author:
ISBN: 0521421241 9780521421249 Year: 1992 Publisher: Cambridge [England] New York Cambridge University Press

Dynamic biological networks
Author:
ISBN: 0262275015 0585354421 9780585354422 9780262275019 0262082144 Year: 1992 Publisher: Cambridge, Mass. MIT Press

Loading...
Export citation

Choose an application

Bookmark

Abstract

Keywords

Neural networks (Neurobiology) --- Crustacea --- Digestive organs --- Arthropods --- Nervous System --- Models, Biological --- Anatomy --- Models, Theoretical --- Invertebrates --- Investigative Techniques --- Animals --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Eukaryota --- Organisms --- Nerve Net --- Models, Neurological --- Digestive System --- Human Anatomy & Physiology --- Health & Biological Sciences --- Neuroscience --- Eucarya --- Eukarya --- Eukaryotes --- Eukaryotas --- Eukaryote --- Ailmentary System --- Alimentary System --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Ostracods --- Ostracoda --- Crustaceas --- Ostracod --- Ostracodas --- Neural Networks (Anatomic) --- Nerve Nets --- Net, Nerve --- Nets, Nerve --- Network, Neural (Anatomic) --- Networks, Neural (Anatomic) --- Neural Network (Anatomic) --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Brachiopoda --- Mesozoa --- Brachiopodas --- Invertebrate --- Mesozoas --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Computer Simulation --- Systems Theory --- Anatomies --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Nervous Systems --- System, Nervous --- Systems, Nervous --- Arthropoda --- Arthropod --- Alimentary canal --- Crustaceans --- Shellfish --- Carcinology --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Animalia --- Animal --- Metazoa --- Models --- Nervous system --- Innervation --- Neural circuitry - Models. --- Nervous system - Crustacea. --- Digestive organs - Innervation. --- Organelles

Neural nets : a theory for brains and machines
Author:
ISBN: 3540559493 0387559493 3540473173 Year: 1992 Publisher: Berlin : Springer-Verlag,

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.

Keywords

Models, Neurological. --- Nerve Net. --- Neural Networks (Computer) --- Neural Pathways --- Brain --- -Neural networks (Computer science) --- 681.3*F11 --- 681.3*I26 --- 681.3*J2 --- 681.3*J3 --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Cerebrum --- Mind --- Central nervous system --- Head --- Connectionist Models --- Models, Neural Network --- Neural Network Models --- Perceptrons --- Connectionist Model --- Model, Connectionist --- Model, Neural Network --- Models, Connectionist --- Network Model, Neural --- Network Models, Neural --- Network, Neural (Computer) --- Networks, Neural (Computer) --- Neural Network (Computer) --- Neural Network Model --- Perceptron --- Neural Networks (Anatomic) --- Nerve Nets --- Net, Nerve --- Nets, Nerve --- Network, Neural (Anatomic) --- Networks, Neural (Anatomic) --- Neural Network (Anatomic) --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- physiology. --- Physiology --- Models of computation: automata bounded action devices computability theory relations among models self-modifying machines unbounded-action devices--See also {681.3*F41} --- Learning: analogies concept learning induction knowledge acquisition language acquisition parameter learning (Artificial intelligence)--See also {681.3*K32} --- Physical sciences and engineering (Computer applications) --- Life and medical sciences (Computer applications) --- Neural networks (Computer science) --- Models --- Nerve net --- NEURAL NETWORKS (COMPUTER) --- NEURAL PATHWAYS --- Physiology. --- neurological --- physiology --- Neural networks (Computer science). --- Nerve net. --- NEURAL NETWORKS (COMPUTER). --- neurological. --- 681.3*J3 Life and medical sciences (Computer applications) --- 681.3*J2 Physical sciences and engineering (Computer applications) --- 681.3*I26 Learning: analogies concept learning induction knowledge acquisition language acquisition parameter learning (Artificial intelligence)--See also {681.3*K32} --- 681.3*F11 Models of computation: automata bounded action devices computability theory relations among models self-modifying machines unbounded-action devices--See also {681.3*F41} --- Neural networks (computer). --- Neural pathways --- Neural networks (computer science). --- Neurological. --- Neurale netwerken (Informatica) --- Réseaux neuraux (Informatique) --- Models, Neurological --- Nerve Net --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- 681.3*F11 Models of computation: automata; bounded action devices; computability theory; relations among models; self-modifying machines; unbounded-action devices--See also {681.3*F41} --- Models of computation: automata; bounded action devices; computability theory; relations among models; self-modifying machines; unbounded-action devices--See also {681.3*F41} --- Brain - Physiology. --- Computational Neural Networks --- Computational Neural Network --- Computer Neural Network --- Computer Neural Networks --- Network, Computational Neural --- Network, Computer Neural --- Networks, Computational Neural --- Networks, Computer Neural --- Neural Network, Computational --- Neural Network, Computer --- Neural Networks, Computational --- Artificial intelligence. --- Neurosciences. --- Engineering. --- Biology --- Computer science. --- Artificial Intelligence. --- Complexity. --- Computer Appl. in Life Sciences. --- Computation by Abstract Devices. --- Biological and Medical Physics, Biophysics. --- Data processing. --- Construction --- Industrial arts --- Technology --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Informatics --- Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers

Listing 1 - 3 of 3
Sort by