Avancerad sökning

Hittade 2 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Machine Learning Techniques with Specific Application to the Early Olfactory System

   Författare :Benjamin Auffarth; Anders Lansner; Tony Lindeberg; Tim Pearce; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; feature selection; image features; pattern classification; relevance; redundancy; distributional similarity; divergence measure; genetic algorithms; clustering algorithms; annealing; olfactory coding; olfactory bulb; odorants; glomeruli; property-activity relationship; olfaction; plasticity; axonal guidance; odor category; perception; spatial coding; population coding; memory organization; odor quality; SRA - ICT; SRA - Informations- och kommunikationsteknik;

   Sammanfattning : This thesis deals with machine learning techniques for the extraction of structure and the analysis of the vertebrate olfactory pathway based on related methods. Some of its main contributions are summarized below. LÄS MER

3. 2. Odour recognition using electronic noses in robotic and intelligent systems

   Författare :Amy Loutfi; Silvia Coradeschi; Alessandro Saffiotti; Hiroshi Ishida; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; electronic noses; machine olfaction; robotics; anchoring; Computer science; Datavetenskap; Computer and Systems Science; Data- och systemvetenskap;

   Sammanfattning : This thesis is about integrating the sense of smell into artificial intelligent systems. In order to endow such systems with olfaction, we use a device called an electronic nose or e-nose. LÄS MER