Advances in Neural Networks - ISNN 2008 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Sun, Fuchun (Επιμελητής έκδοσης), Zhang, Jianwei (Επιμελητής έκδοσης), Tan, Ying (Επιμελητής έκδοσης), Cao, Jinde (Επιμελητής έκδοσης), Yu, Wen (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Lecture Notes in Computer Science, 5263
• Θέματα: Computer science.; Computer programming.; Computers.; Data mining.; Artificial intelligence.; Computer simulation.; Image processing.; Computer Science.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Data Mining and Knowledge Discovery.; Computation by Abstract Devices.; Simulation and Modeling.; Image Processing and Computer Vision.

 The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks. 

 Computational Neuroscience -- Cognitive Science -- Mathematical Modeling of Neural Systems -- Stability and Nonlinear Analysis -- Feedforward and Fuzzy Neural Networks -- Probabilistic Methods -- Supervised Learning -- Unsupervised Learning -- Support Vector Machine and Kernel Methods -- Hybrid Optimisation Algorithms.