Artificial Neural Networks — ICANN'97 [electronic resource] : 7th International Conference Lausanne, Switzerland, October 8–10, 1997 Proceeedings / edited by Wulfram Gerstner, Alain Germond, Martin Hasler, Jean-Daniel Nicoud.
Material type: TextSeries: Lecture Notes in Computer Science ; 1327Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997Description: XL, 1276 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540696209Subject(s): Computer science | Logic design | Computer Communication Networks | Artificial intelligence | Biology -- Data processing | Computer Science | Computation by Abstract Devices | Computer Communication Networks | Artificial Intelligence (incl. Robotics) | Logic Design | Computer Appl. in Life SciencesAdditional physical formats: Printed edition:: No titleDDC classification: 004.0151 LOC classification: QA75.5-76.95Online resources: Click here to access online In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 7th International Conference on Artificial Neural Networks, ICANN'97, held in Lausanne, Switzerland,in October 1997. The 201 revised papers presented were selected from a large number of submissions and give a unique documentation of the state of the art in the area. The papers are organized in parts on coding and learning in biology; cortical maps and receptive fields; learning: theory and applications; signal processing: blind source separation, vector quantization, and self-organization; robotics, autonomous agents, and control; speech, vision and pattern recognition; prediction, forecasting and monitoring; and implementations.Current library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
---|---|---|---|---|---|---|---|
IMSc Library | IMSc Library | Link to resource | Available | EBK7291 |
This book constitutes the refereed proceedings of the 7th International Conference on Artificial Neural Networks, ICANN'97, held in Lausanne, Switzerland,in October 1997. The 201 revised papers presented were selected from a large number of submissions and give a unique documentation of the state of the art in the area. The papers are organized in parts on coding and learning in biology; cortical maps and receptive fields; learning: theory and applications; signal processing: blind source separation, vector quantization, and self-organization; robotics, autonomous agents, and control; speech, vision and pattern recognition; prediction, forecasting and monitoring; and implementations.
There are no comments on this title.