Covers: artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.

Скачать книгу бесплатно (pdf, 3.65 Mb)

---

Читать «An introduction to neural networks»