CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS: PROCS OF THE 7TH IEEE INT'L WORKSHOP

Inbunden, Engelska, 2002

4 929 kr

Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This volume covers the fundamental theory of Cellular Neural Networks as well as their applications in various fields such as science and technology. It contains all 83 papers of the 7th International Workshop on Cellular Neural Networks and their Applications. The workshop follows a biennial series of six workshops consecutively hosted in Budapest (1990), Munich, Rome, Seville, London and Catania (2000).

Produktinformation

Utgivningsdatum2002-07-09
Mått175 x 250 x 49 mm
Vikt1 949 g
FormatInbunden
SpråkEngelska
Antal sidor700
FörlagWorld Scientific Publishing Co Pte Ltd
ISBN9789812381217

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it

Contents: On the Relationship Between CNNs and PDEs (M Gilli et al.); Moving Object Tracking on Panoramic Images (P Foldesy et al.); Emergence of Global Patterns in Connected Neural Networks (T Shimizu); Configurable Multi-Layer CNN-UM Emulator on FPGA (Z Nagy & P Szolgay); A CNN Based System to Blind Sources Separation of MEG Signals (M Bucolo et al.); Time as Coding Space for Information Processing in the Cerebral Cortex (W Singer); Analyzing Multidimensional Neural Activity via CNN-UM (V Gal et al.); Visual Feedback by Using a CNN Chip Prototype System (P Arena et al.); Computational and Computer Complexity of Analogic Cellular Wave Computers (T Roska); Chaotic Phenomena in Quantum Cellular Neural Networks (L Fortuna & D Porto); Fingerprint Image Enhancement Using CNN Gabor-Type Filters (E Saatci & V Tavsanoglu); CNN Based Color Constancy Algorithm (L Torok & A Zarandy); Statistical Error Modeling of CNN-UM Architectures: The Grayscale Case (P Foldesy); MEMS, Microsystems and Nanosystems (M E Zaghloul); Texture Segmentation by the 64x64 CNN Chip (T Sziranyi); Teaching CNN and Learning by Using CNN (P Arena et al.); Novel Methods and Results in Training Universal Multi-Nested Neurons (R Dogaru et al.); Test-Bed Board for 16x64 Stereo Vision CNN Chip (M Salerno et al.); and other papers.

Mer från samma författare

RECENT ADVANCES IN PREDICTING AND PREVENTING EPILEPTIC SEIZURES - PROCEEDINGS OF THE 5TH INTERNATIONAL WORKSHOP ON SEIZURE PREDICTION

Tetzlaff Ronald, Ronald Tetzlaff, Christian E Elger, Klaus Lehnertz

Inbunden, 2013

2 409 kr

Du kanske också är intresserad av

Handbook on Public Sector Efficiency

Antonio Afonso, Joao Tovar Jalles, Ana Venancio

Inbunden, 2023

4 929 kr

Hearing - From Sensory Processing to Perception

B. Kollmeier, G. Klump, V. Hohmann, U. Langemann, M. Mauermann, S. Uppenkamp, J. Verhey

Häftad, 2010

4 929 kr

The Global History of Paleopathology

BUIKSTRA, Jane Buikstra, Charlotte Roberts

Inbunden, 2012

4 929 kr

Research Handbook on Public Financial Management

Komla Dzigbede, W. B. Hildreth

Inbunden, 2023

4 929 kr

Pattern Recognition

Robert J. Schalkoff

Häftad, 1991

4 929 kr

Wine Law and Policy

Julien Chaisse, Fernando Dias Simões, Danny Friedmann

Inbunden, 2020

4 929 kr

Handbook on Youth Activism

Jerusha Conner

Inbunden, 2024

4 929 kr

Research Handbook on Public Affairs

Arco Timmermans

Inbunden, 2024

4 929 kr

Cicero, De haruspicum responsis

Anthony Corbeill

Inbunden, 2023

4 929 kr

The Oxford Handbook of Roman Sculpture

FRIEDLAND, Elise A. Friedland, Melanie Grunow Sobocinski, Elaine K. Gazda

Inbunden, 2015

4 929 kr

CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS: PROCS OF THE 7TH IEEE INT'L WORKSHOP

Inbunden, Engelska, 2002

AvTETZLAFF RONALD,Ronald Tetzlaff

4 929 kr

Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Produktinformation

Utgivningsdatum2002-07-09
Mått175 x 250 x 49 mm
Vikt1 949 g
FormatInbunden
SpråkEngelska
Antal sidor700
FörlagWorld Scientific Publishing Co Pte Ltd
ISBN9789812381217

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it

Contents: On the Relationship Between CNNs and PDEs (M Gilli et al.); Moving Object Tracking on Panoramic Images (P Foldesy et al.); Emergence of Global Patterns in Connected Neural Networks (T Shimizu); Configurable Multi-Layer CNN-UM Emulator on FPGA (Z Nagy & P Szolgay); A CNN Based System to Blind Sources Separation of MEG Signals (M Bucolo et al.); Time as Coding Space for Information Processing in the Cerebral Cortex (W Singer); Analyzing Multidimensional Neural Activity via CNN-UM (V Gal et al.); Visual Feedback by Using a CNN Chip Prototype System (P Arena et al.); Computational and Computer Complexity of Analogic Cellular Wave Computers (T Roska); Chaotic Phenomena in Quantum Cellular Neural Networks (L Fortuna & D Porto); Fingerprint Image Enhancement Using CNN Gabor-Type Filters (E Saatci & V Tavsanoglu); CNN Based Color Constancy Algorithm (L Torok & A Zarandy); Statistical Error Modeling of CNN-UM Architectures: The Grayscale Case (P Foldesy); MEMS, Microsystems and Nanosystems (M E Zaghloul); Texture Segmentation by the 64x64 CNN Chip (T Sziranyi); Teaching CNN and Learning by Using CNN (P Arena et al.); Novel Methods and Results in Training Universal Multi-Nested Neurons (R Dogaru et al.); Test-Bed Board for 16x64 Stereo Vision CNN Chip (M Salerno et al.); and other papers.