Computational Intelligence in Time Series Forecasting Theory and Engineering Applications /

• Κύριοι συγγραφείς: Palit, Ajoy K. (Συγγραφέας), Popovic, Dobrivoje (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2005.
• Σειρά: Advances in Industrial Control,
• Θέματα: Computer science.; Artificial intelligence.; Computer simulation.; Statistics.; Control engineering.; Robotics.; Mechatronics.; Quality control.; Reliability.; Industrial safety.; Computer Science.; Artificial Intelligence (incl. Robotics).; Simulation and Modeling.; Control, Robotics, Mechatronics.; Quality Control, Reliability, Safety and Risk.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Foresight in an engineering enterprise can make the difference between success and failure and can be vital to the effective control of industrial systems. Forecasting the future from accumulated historical data is a tried and tested method in areas such as engineering finance. Applying time series...

Πίνακας περιεχομένων:

• Computational Intelligence: An Introduction
• Traditional Problem Definition
• Basic Intelligent Computational Technologies
• Neural Networks Approach
• Fuzzy Logic Approach
• Evolutionary Computation
• Hybrid Computational Technologies
• Neuro-fuzzy Approach
• Transparent Fuzzy/Neuro-fuzzy Modelling
• Evolving Neural and Fuzzy Systems
• Adaptive Genetic Algorithms
• Recent Developments
• State of the Art and Development Trends.