Artificial Neural Networks - ICANN 2007 (original) (raw)

Overview

Editors:

  1. Joaquim Marques Sá
  2. Luís A. Alexandre
  3. Włodzisław Duch
  4. Danilo Mandic

Access this book

Log in via an institution

Other ways to access

About this book

This two volume set LNCS 4668 and LNCS 4669 constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, held in Porto, Portugal, in September 2007.

The 197 revised full papers presented were carefully reviewed and selected from 376 submissions. The 98 papers of the first volume are organized in topical sections on learning theory, advances in neural network learning methods, ensemble learning, spiking neural networks, advances in neural network architectures neural network technologies, neural dynamics and complex systems, data analysis, estimation, spatial and spatio-temporal learning, evolutionary computing, meta learning, agents learning, complex-valued neural networks, as well as temporal synchronization and nonlinear dynamics in neural networks.

Similar content being viewed by others

Table of contents (98 papers)

  1. Learning Theory

  2. Advances in Neural Network Learning Methods

Back to top

Accessibility Information

Accessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.

Bibliographic Information

Keywords

Publish with us

Back to top