Intelligent systems and soft computing : prospects, tools and applications

Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The p...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखक: Azvine, Behnam
अन्य लेखक: Azarmi, Nader (प्रकाशन निदेशक), Nauck, Detlef. D. (प्रकाशन निदेशक)
स्वरूप: Livre numérique
भाषा:Anglais
प्रकाशित: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
श्रृंखला:Lecture notes in computer science. Lecture notes in artificial intelligence 1804
विषय:
ऑनलाइन पहुंच:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
टिप्पणी: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Intelligent systems and soft computing, prospects, tools and applications, Behnam Azvine, Nader Azarmi, Detlef D. Nauck, 2000, Berlin, Springer, 1 vol. (XVII-357 p.), Lecture notes in computer science, 3-540-67837-9
• Intelligent Systems and Soft Computing, Texte imprimé, 9783662207864
विषय - सूची:
  • Section 1 - Prospects
  • From Computing with Numbers to Computing with Words From Manipulation of Measurements to Manipulation of Perceptions
  • Bringing AI and Soft Computing Together: A Neurobiological Perspective
  • Future Directions for Soft Computing
  • Problems and Prospects in Fuzzy Data Analysis
  • Soft Agent Computing: Towards Enhancing Agent Technology with Soft Computing
  • Section 2 - Tools
  • NEFCLASS-J A JAVA-Based Soft Computing Tool
  • Soft Computing for Intelligent Knowledge-Based Systems
  • Advanced Fuzzy Clustering and Decision Tree Plug-Ins for DataEngineTM
  • Section 3 - Applications
  • The Intelligent Assistant: An Overview
  • The YPA An Assistant for Classified Directory Enquiries
  • Intelligent Multimodal User Interface
  • Communication Management: E-Mail and Telephone Assistants
  • Time Management in the Intelligent Assistant
  • Machine Interpretation of Facial Expressions
  • Modelling Preferred Work Plans.