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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
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Σειρά: | Advanced Information and Knowledge Processing
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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.