Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science
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152

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Published By Springer Berlin Heidelberg

9783540615101, 9783540686842

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Neural network model for maximum ozone concentration prediction

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_47 ◽

1996 ◽

pp. 263-268 ◽

Cited By ~ 2

Author(s):

Gonzalo Acuña ◽

Héctor Jorquera ◽

Ricardo Pérez

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Ozone Concentration ◽

Concentration Prediction

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Controlling the speed of synfire chains

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_78 ◽

1996 ◽

pp. 451-456 ◽

Cited By ~ 8

Author(s):

Thomas Wennekers ◽

Günther Palm

Keyword(s):

Synfire Chains

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Inward relearning: A step towards long-term memory

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_149 ◽

1996 ◽

pp. 887-892

Author(s):

Sylvie Wacquant ◽

Frank Joublin

Keyword(s):

Long Term Memory ◽

Term Memory

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A self-organizing neural network approach for the acquisition of phonetic categories

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_148 ◽

1996 ◽

pp. 881-886 ◽

Cited By ~ 1

Author(s):

Kay Behnke ◽

Peter Wittenburg

Keyword(s):

Neural Network ◽

Network Approach ◽

Neural Network Approach ◽

Phonetic Categories ◽

Self Organizing

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Intrinsic and parallel performances of the OWE neural network architecture

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_127 ◽

1996 ◽

pp. 755-760 ◽

Cited By ~ 2

Author(s):

Nicolas Pican

Keyword(s):

Neural Network ◽

Network Architecture ◽

Neural Network Architecture

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A spatio-temporal learning rule based on the physiological data of LTP induction in the hippocampal CA1 network

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_120 ◽

1996 ◽

pp. 709-714

Author(s):

Minoru Tsukada ◽

Takeshi Aihara ◽

Hide-aki Saito ◽

Hiroshi Kato

Keyword(s):

Learning Rule ◽

Physiological Data ◽

Rule Based ◽

Hippocampal Ca1 ◽

Spatio Temporal ◽

Temporal Learning

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Analysis of multi-fluorescence signals using a modified Self-Organizing Feature Map

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_98 ◽

1996 ◽

pp. 575-580 ◽

Cited By ~ 2

Author(s):

Stefan Schünemann ◽

Bernd Michaelis ◽

Walter Schubert

Keyword(s):

Feature Map ◽

Self Organizing

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Improvements and extensions to the constructive algorithm CARVE

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_88 ◽

1996 ◽

pp. 513-518 ◽

Cited By ~ 3

Author(s):

Steven Young ◽

Tom Downs

Keyword(s):

Constructive Algorithm

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Optimality of pocket algorithm

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_87 ◽

1996 ◽

pp. 507-512

Author(s):

Marco Muselli

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Desaturating coefficient for projection learning rule

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science ◽

10.1007/3-540-61510-5_81 ◽

1996 ◽

pp. 469-476 ◽

Cited By ~ 4

Author(s):

Dmitry O. Gorodnichy

Keyword(s):

Learning Rule

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Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Neural network model for maximum ozone concentration prediction

Controlling the speed of synfire chains

Inward relearning: A step towards long-term memory

A self-organizing neural network approach for the acquisition of phonetic categories

Intrinsic and parallel performances of the OWE neural network architecture

A spatio-temporal learning rule based on the physiological data of LTP induction in the hippocampal CA1 network

Analysis of multi-fluorescence signals using a modified Self-Organizing Feature Map

Improvements and extensions to the constructive algorithm CARVE

Optimality of pocket algorithm

Desaturating coefficient for projection learning rule

Artificial Neural Networks — ICANN 96 - Lecture Notes in Computer Science
Latest Publications