Mohlo by sa vám tiež páčiť

Viac informácií o knihe Connectionist Approaches to Language Learning

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 345 bodov

Anotácia knihy

arise automatically as a result of the recursive structure of the task and the continuous nature of the SRN's state space. Elman also introduces a new graphical technique for study ing network behavior based on principal components analysis. He shows that sentences with multiple levels of embedding produce state space trajectories with an intriguing self similar structure. The development and shape of a recurrent network's state space is the subject of Pollack's paper, the most provocative in this collection. Pollack looks more closely at a connectionist network as a continuous dynamical system. He describes a new type of machine learning phenomenon: induction by phase transition. He then shows that under certain conditions, the state space created by these machines can have a fractal or chaotic structure, with a potentially infinite number of states. This is graphically illustrated using a higher-order recurrent network trained to recognize various regular languages over binary strings. Finally, Pollack suggests that it might be possible to exploit the fractal dynamics of these systems to achieve a generative capacity beyond that of finite-state machines.

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Connectionist Approaches to Language Learning
• Autor: David Touretzky
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 149
• EAN: 9780792392163
• ISBN: 0792392167
• ID: 01398114
• Nakladateľ: Springer, Berlin
• Hmotnosť: 880 g
• Rozmery: 234 × 156 × 11 mm
• Rok vydania: 1991

Obľúbené z iného súdka

---

---

---