Nonlinear neural networks. Pt. 1 General theory

The Theoretical Background of Neuronal Networks

ROKŮSEK, Zdeněk

January 2007

In focus of this dissertation is the theoretical background of the neural networks with a descriptio...

Generalization and regularization in nonlinear learning systems

Grace Wahba

January 1995

To appear in the Handoobk of Brain Theory and Neural Networks, Michael Arbib, Ed. Prepared within th...

Neural networks in non-euclidean spaces

Duch, W.
Adamczak, R. (Nicholas Copernicus Univ., Torun (Poland). Dept. of Computer Methods)
Diercksen, G.H.F. (Max-Planck-Institut fuer Astrophysik, Garching (Germany))
Max-Planck-Institut fuer Astrophysik, Garching (Germany)

January 1999

SIGLEAvailable from: http://www.mpa-garching.mpg.de / FIZ - Fachinformationszzentrum Karlsruhe / TIB...

Nonlinear neural networks. Pt. 2 Information processing

Hemmen, J.L. van
Grensing, D.
Huber, A.
Kuehn, R.
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle

January 1987

SIGLETIB Hannover: RN 7349 (412) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Infor...

Nonlinear neural networks

Hemmen, J.L. van
Kuehn, R.
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle
Deutsche Forschungsgemeinschaft (DFG), Bonn (Germany)

January 1986

SIGLETIB: RN 7349 (359) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...

Nonlinear neural networks with external noise

Rzazewski, K. (Polska Akademia Nauk, Warsaw (Poland). Inst. of Theoretical Physics)
Hemmen, J.L. van
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle

January 1987

SIGLETIB Hannover: RN 7349 (413) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Infor...

Nonlinear neural networks: efficient storage and retrieval of information

Hemmen, J.L. van
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle

January 1987

SIGLETIB Hannover: RN 7349 (403) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Infor...

Analysis of neural networks

Heiden, Uwe

January 1980

The purpose of this work is a unified and general treatment of activity in neural networks from a ma...

Temporal sequences and chaos in neural nets

Riedel, U.
Kuehn, R.
Hemmen, J.L. van
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle

January 1987

SIGLETIB Hannover: RN 7349 (437) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Infor...

Theoretical aspects of generalization in feed-forward neural networks

Potter, K.R.

January 1996

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN018487 / BLDSC - British Library D...

Computationally complex, nonlinear systems modeling using neural networks

Hu, Xiao

January 2004

Neural networks, a powerful machine learning paradigm, have been successfully applied to a wide spec...

Learning the nonlinearity of neurons from natural visual stimuli

Kayser, Christoph
Kording, K. P.
Konig, P.

January 2003

Kayser C, Kording KP, Konig P. Learning the nonlinearity of neurons from natural visual stimuli. Neu...

Processing nonlinearities

Esposito, Anna
Faundez-Zanuy, Marcos
Morabito, Francesco Carlo
Pasero, Eros

January 2019

The problem of non-linear data is one of the oldest in experimental science. The solution to this pr...

Neural networks as nonlinear dynamical systems

Danciu, Daniela

November 2014

The Recurrent Neural Networks (RNNs) represent an important class of bio-inspired learning machines ...

Dynamical behaviour of neural networks

Goles, Eric
Centre National de la Recherche Scientifique, LA 7, Laboratoire d'Informatique et de Mathematiques Appliquees de Grenoble Grenoble (FRANCE)
Universite de Grenoble 1 Grenoble (FRANCE)

January 1983

SIGLECNRS-CDST / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

The Theoretical Background of Neuronal Networks

ROKŮSEK, Zdeněk

January 2007

In focus of this dissertation is the theoretical background of the neural networks with a descriptio...

Generalization and regularization in nonlinear learning systems

Grace Wahba

January 1995

To appear in the Handoobk of Brain Theory and Neural Networks, Michael Arbib, Ed. Prepared within th...

Neural networks in non-euclidean spaces

Duch, W.
Adamczak, R. (Nicholas Copernicus Univ., Torun (Poland). Dept. of Computer Methods)
Diercksen, G.H.F. (Max-Planck-Institut fuer Astrophysik, Garching (Germany))
Max-Planck-Institut fuer Astrophysik, Garching (Germany)

January 1999

SIGLEAvailable from: http://www.mpa-garching.mpg.de / FIZ - Fachinformationszzentrum Karlsruhe / TIB...

Nonlinear neural networks. Pt. 2 Information processing

Hemmen, J.L. van
Grensing, D.
Huber, A.
Kuehn, R.
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle

January 1987

SIGLETIB Hannover: RN 7349 (412) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Infor...

Nonlinear neural networks

Hemmen, J.L. van
Kuehn, R.
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle
Deutsche Forschungsgemeinschaft (DFG), Bonn (Germany)

January 1986

SIGLETIB: RN 7349 (359) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbi...

Nonlinear neural networks with external noise

Rzazewski, K. (Polska Akademia Nauk, Warsaw (Poland). Inst. of Theoretical Physics)
Hemmen, J.L. van
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle

January 1987

SIGLETIB Hannover: RN 7349 (413) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Infor...

Nonlinear neural networks: efficient storage and retrieval of information

Hemmen, J.L. van
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle

January 1987

SIGLETIB Hannover: RN 7349 (403) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Infor...

Analysis of neural networks

Heiden, Uwe

January 1980

The purpose of this work is a unified and general treatment of activity in neural networks from a ma...

Temporal sequences and chaos in neural nets

Riedel, U.
Kuehn, R.
Hemmen, J.L. van
Heidelberg Univ. (Germany). Sonderforschungsbereich 123 - Stochastische Mathematische Modelle

January 1987

SIGLETIB Hannover: RN 7349 (437) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Infor...

Theoretical aspects of generalization in feed-forward neural networks

Potter, K.R.

January 1996

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN018487 / BLDSC - British Library D...

Computationally complex, nonlinear systems modeling using neural networks

Hu, Xiao

January 2004

Neural networks, a powerful machine learning paradigm, have been successfully applied to a wide spec...

Learning the nonlinearity of neurons from natural visual stimuli

Kayser, Christoph
Kording, K. P.
Konig, P.

January 2003

Kayser C, Kording KP, Konig P. Learning the nonlinearity of neurons from natural visual stimuli. Neu...

Processing nonlinearities

Esposito, Anna
Faundez-Zanuy, Marcos
Morabito, Francesco Carlo
Pasero, Eros

January 2019

The problem of non-linear data is one of the oldest in experimental science. The solution to this pr...

Neural networks as nonlinear dynamical systems

Danciu, Daniela

November 2014

The Recurrent Neural Networks (RNNs) represent an important class of bio-inspired learning machines ...

Dynamical behaviour of neural networks

Goles, Eric
Centre National de la Recherche Scientifique, LA 7, Laboratoire d'Informatique et de Mathematiques Appliquees de Grenoble Grenoble (FRANCE)
Universite de Grenoble 1 Grenoble (FRANCE)

January 1983

SIGLECNRS-CDST / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

The Theoretical Background of Neuronal Networks

ROKŮSEK, Zdeněk

January 2007

In focus of this dissertation is the theoretical background of the neural networks with a descriptio...

Generalization and regularization in nonlinear learning systems

Grace Wahba

January 1995

To appear in the Handoobk of Brain Theory and Neural Networks, Michael Arbib, Ed. Prepared within th...

Neural networks in non-euclidean spaces

Duch, W.
Adamczak, R. (Nicholas Copernicus Univ., Torun (Poland). Dept. of Computer Methods)
Diercksen, G.H.F. (Max-Planck-Institut fuer Astrophysik, Garching (Germany))
Max-Planck-Institut fuer Astrophysik, Garching (Germany)

January 1999

SIGLEAvailable from: http://www.mpa-garching.mpg.de / FIZ - Fachinformationszzentrum Karlsruhe / TIB...

Nonlinear neural networks. Pt. 1 General theory

Abstract

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Nonlinear neural networks. Pt. 1 General theory

Abstract

Extracted data

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