Data Mining with Computational Intelligence

Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Wang, Lipo (Συγγραφέας), Fu, Xiuju (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Advanced Information and Knowledge Processing
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • MLP Neural Networks for Time-Series Prediction and Classification
  • Fuzzy Neural Networks for Bioinformatics
  • An Improved RBF Neural Network Classifier
  • Attribute Importance Ranking for Data Dimensionality Reduction
  • Genetic Algorithms for Class-Dependent Feature Selection
  • Rule Extraction from RBF Neural Networks
  • A Hybrid Neural Network For Protein Secondary Structure Prediction
  • Support Vector Machines for Prediction
  • Rule Extraction from Support Vector Machines.