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Material Type
Electronic Resource
Title
Neural networks for applied sciences and engineering : From fundamentals to complex pattern recognition / Sandhya Samarasinghe / [Electronic resource]
LC Call #
QA76.87 S26 2007
Author
Samarasinghe, Sandhya
Content
From Data to Models
Fundamentals of Neural Networks and Models for Linear Data Analysis
Neural Networks for Nonlinear Pattern Recognition
Learning of Nonlinear Patterns by Neural Networks
Implementation of Neural Network Models for Extracting Reliable Patterns from Data
Data Exploration, Dimensionality Reduction, and Feature Extraction
Assessment of Uncertainty of Neural Network Models Using Bayesian Statistics
Discovering Unknown Clusters in Data with Self-Organizing Maps
Neural Networks for Time-Series Forecasting
Subject
Neural networks (Computer science)
Pattern recognition systems
ISBN
978-1-4200-1306-1 (E-Book)
0-8493-3375-X (Hardcover)
978-0-8493-3375-0 (Hardcover)
Published/Created
Baca Raton, Fl : Taylor & Francis Group, 2007.
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เงื่อนไข
1. ส่งคำขอเวลา 8.30-11.00น รับหนังสือเวลา 16.00น.
2. ส่งคำขอหลังเวลา 11.00น. รับหนังสือในวันทำการถัดไป
3. ส่งคำขอ วันศุกร์ช่วงบ่าย หรือ วันเสาร์-อาทิตย์ รับหนังสือวันจันทร์ 16.00น.
4. ติดต่อรับหนังสือด่วนได้ที่ เคาน์เตอร์บริการยืม-คืน ชั้น 3 *ภายใน 3 วัน*
ติดต่อสอบถามข้อมูลเพิ่มเติม โทร. 2352
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Citation
APA
Samarasinghe, S.. (2007).
Neural networks for applied sciences and engineering : From fundamentals to complex pattern recognition .
Baca Raton, Fl : Taylor & Francis Group
MLA
Samarasinghe, S..
Neural networks for applied sciences and engineering : From fundamentals to complex pattern recognition .
Baca Raton, Fl : Taylor & Francis Group, 2007.
Chicago
Samarasinghe, S.. 2007.
Neural networks for applied sciences and engineering : From fundamentals to complex pattern recognition .
Baca Raton, Fl : Taylor & Francis Group.
Vancouver
Samarasinghe, S.. Neural networks for applied sciences and engineering : From fundamentals to complex pattern recognition . Baca Raton, Fl : Taylor & Francis Group; 2007.
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