Mohlo by se vám také líbit

Více informací o knize Neural Networks and Fuzzy Systems

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 331 bodů

Anotace knihy

Neural Networks and Fuzzy Systems: Theory and Applications discusses theories that have proven useful in applying neural networks and fuzzy systems to real world problems. The book includes performance comparison of neural networks and fuzzy systems using data gathered from real systems. Topics covered include the Hopfield network for combinatorial optimization problems, multilayered neural networks for pattern classification and function approximation, fuzzy systems that have the same functions as multilayered networks, and composite systems that have been successfully applied to real world problems. The author also includes representative neural network models such as the Kohonen network and radial basis function network. New fuzzy systems with learning capabilities are also covered. §The advantages and disadvantages of neural networks and fuzzy systems are examined. The performance of these two systems in license plate recognition, a water purification plant, blood cell classification, and other real world problems is compared.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Neural Networks and Fuzzy Systems
• Autor: Shigeo Abe
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 258
• EAN: 9780792398141
• ISBN: 0792398149
• ID: 01398474
• Nakladatelství: Springer
• Hmotnost: 1270 g
• Rozměry: 235 × 155 × 20 mm
• Datum vydání: 01. November 1996

Oblíbené z jiného soudku

---

---

---