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Artificial Neural Networks — ICANN'97 [electronic resource] :7th International Conference Lausanne, Switzerland, October 8–10, 1997 Proceeedings /

Contributor(s): Gerstner, Wulfram [editor.] | Germond, Alain [editor.] | Hasler, Martin [editor.] | Nicoud, Jean-Daniel [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 1327Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997.Description: XL, 1276 p. 701 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540696209.Subject(s): Computer science | Logic design | Computer communication systems | Computers | Artificial intelligence | Bioinformatics | Computational biology | Computer Science | Computation by Abstract Devices | Computer Communication Networks | Artificial Intelligence (incl. Robotics) | Logic Design | Computer Appl. in Life SciencesOnline 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.
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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.

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