Artificial Neural Networks ICANN 2010

This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 2010.

Author: Konstantinos Diamantaras

Publisher: Springer Science & Business Media

ISBN: 3642158218

Category: Computers

Page: 543

View: 206

This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 2010. The 102 revised full papers, 68 short papers and 29 posters presented were carefully reviewed and selected from 241 submissions. The second volume is divided in topical sections on Kernel algorithms – support vector machines, knowledge engineering and decision making, recurrent ANN, reinforcement learning, robotics, self organizing ANN, adaptive algorithms – systems, and optimization.

Artificial Neural Networks ICANN 2010

th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010.

Author: Konstantinos Diamantaras

Publisher: Springer

ISBN: 3642158250

Category: Computers

Page: 575

View: 939

th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.

Artificial Neural Networks ICANN 2010

This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 2010.

Author: Konstantinos Diamantaras

Publisher: Springer Science & Business Media

ISBN: 3642158188

Category: Computers

Page: 587

View: 192

This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 2010. The 102 revised full papers, 68 short papers and 29 posters presented were carefully reviewed and selected from 241 submissions. The first volume is divided in topical sections on ANN applications, Bayesian ANN, bio inspired – spiking ANN, biomedical ANN, computational neuroscience, feature selection/parameter identification and dimensionality reduction, filtering, genetic – evolutionary algorithms, and image – video and audio processing.



Artificial Neural Networks ICANN 2010

th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010.

Author: Konstantinos Diamantaras

Publisher: Springer

ISBN: 9783642158186

Category: Computers

Page: 587

View: 234

th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.


Cortex inspired Goal directed Recurrent Networks for Developmental Visual Attention and Recognition with Complex Backgrounds

Stimulus - selective properties of inferior temporal neurons in the macaque .
Journal of Neuroscience ... Neural mechanisms of selective visual attention .
Annual Review of ... Artificial Neural Networks - ICANN 2008 , pages 961-970 . (
35 ) D.J. ...

Author: Matthew Luciw

Publisher:

ISBN:

Category: Artificial intelligence

Page: 356

View: 578


Artificial Neural Networks and Machine Learning ICANN 2016

Author: Alessandro E.P. Villa

Publisher: Springer

ISBN: 3319447815

Category: Computers

Page: 557

View: 632

The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.

Artificial Neural Networks

International Conference on Artificial Neural Networks (ICANN-. ... These were
followed by : • the floating point co - processor MIPS R2010 in 1988 [ 26 ] ( the
implementation of the gates was originally discovered by Lerch in 1973 [ 31 ] ) ; •
the ...

Author:

Publisher:

ISBN:

Category: Neural networks (Computer science)

Page:

View: 658


SPE Reservoir Evaluation Engineering

Permeability prediction with artificial neural network modelling in the Venture gas
field , offshore eastern Canada . Geophysics 61 ... In Artificial Neural Networks -
ICANN'97 , Lausanne , Switzerland , October 8-10 , 1997 , ed . W. Gerstner , A. ...
A. 2008. Support Vector 494 June 2010 SPE Reservoir Evaluation & Engineering
.

Author:

Publisher:

ISBN:

Category: Oil reservoir engineering

Page:

View: 675


ICANN 98

Proceedings of the 8th International Conference on Artificial Neural Networks,
Skövde, Sweden, 2–4 September 1998 ... Additionally , each model was trained
on the whole training data set I = ( 111 , ... , r2010 ) and evaluated on the test set
T.

Author: Lars Niklasson

Publisher: Springer

ISBN: 9783540762638

Category: Computers

Page: 1197

View: 239

ICANN, the International Conference on Artificial Neural Networks, is the official conference series of the European Neural Network Society which started in Helsinki in 1991. Since then ICANN has taken place in Brighton, Amsterdam, Sorrento, Paris, Bochum and Lausanne, and has become Europe's major meeting in the field of neural networks. This book contains the proceedings of ICANN 98, held 2-4 September 1998 in Skovde, Sweden. Of 340 submissions to ICANN 98, 180 were accepted for publication and presentation at the conference. In addition, this book contains seven invited papers presented at the conference. A conference of this size is obviously not organized by three individuals alone. We therefore would like to thank the following people and organizations for supporting ICANN 98 in one way or another: • the European Neural Network Society and the Swedish Neural Network Society for their active support in the organization of this conference, • the Programme Committee and all reviewers for the hard and timely work that was required to produce more than 900 reviews during April 1998, • the Steering Committee which met in Skovde in May 1998 for the final selection of papers and the preparation of the conference program, • the other Module Chairs: Bengt Asker (Industry and Research), Harald Brandt (Applications), Anders Lansner (Computational Neuroscience and Brain Theory), Thorsteinn Rognvaldsson (Theory), Noel Sharkey (co chair Autonomous Robotics and Adaptive Behavior), Bertil Svensson (Hardware and Implementations), • the conference secretary, Leila Khammari, and the rest of the

ICANN 94

Proceedings of the International Conference on Artificial Neural Networks,
Sorrento, Italy, 26-29 May 1994 M. ... external world and the network's internal
representation consists on producing reentrant states in which the network ... 2 (
1 - polo , se ds Mr = ms = no = 1/2 2010 ; ( 1 - pa ) Or = 08 ( 1 ) 218 fo ( diri ) = or
and o ...

Author: M. Marinaro

Publisher: Springer Verlag

ISBN:

Category: Computers

Page: 1482

View: 188


Artificial Intelligence for Future Generation Robotics

Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics.

Author: Rabindra Nath Shaw

Publisher: Elsevier

ISBN: 032385799X

Category: Computers

Page: 285

View: 734

Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. Brings AI and smart robotics into imaginative, technically-informed dialogue Integrates fundamentals with real-world applications Presents potential applications for AI in smart robotics by use-case Gives detailed theory and mathematical calculations for each application Stimulates new thinking and research in applying AI to robotics