✦ LIBER ✦

Using neural nets to look for chaos

✍ Scribed by A.M. Albano; A. Passamante; T. Hediger; Mary Eileen Farrell

Publisher: Elsevier Science
Year: 1992
Tongue: English
Weight: 579 KB
Volume: 58
Category: Article
ISSN: 0167-2789
DOI: 10.1016/0167-2789(92)90098-8

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A structural model for shape recognition

A structural model for shape recognition using neural nets

✍ Jose A. Ventura; Jen-Ming Chen 📂 Article 📅 1996 🏛 Springer US 🌐 English ⚖ 870 KB

Shape representation and recognition is an important topic in many applications of computer vision and artificial intelligence, including character recognition, pattern recognition, machine monitoring, robot manipulation and production part recognition. In this paper, a structural model based on bou

Design philosophy for nanoelectronic sys

Design philosophy for nanoelectronic systems, from SETs to neural nets

✍ Arthur van Roermund; Jaap Hoekstra 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 129 KB

Using neural-net computing to formulate

Using neural-net computing to formulate real-time control strategies

✍ Yoh-Han Pao 📂 Article 📅 1992 🏛 Elsevier Science ⚖ 902 KB

The Use of Neural Nets to Decode Adaptiv

The Use of Neural Nets to Decode Adaptively in a Variety of Channels

✍ Khalid A. Al-Mashouq; Irving S. Reed 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 700 KB

Use of neural nets for dynamic modeling

Use of neural nets for dynamic modeling and control of chemical process systems

✍ N. Bhat; T.J. McAvoy 📂 Article 📅 1990 🏛 Elsevier Science 🌐 English ⚖ 901 KB

Using a heterogeneous multinomial probit

Using a heterogeneous multinomial probit model with a neural net extension to model brand choice

✍ Harald Hruschka 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 198 KB

## Abstract The multinomial probit model introduced here combines heterogeneity across households with flexibility of the (deterministic) utility function. To achieve flexibility deterministic utility is approximated by a neural net of the multilayer perceptron type. A Markov Chain Monte Carlo meth