✦ LIBER ✦

Artificial neural networks for modeling discrete dynamic systems

✍ Scribed by Esther Levin; Raanan Gewirtzman

Publisher: Elsevier Science
Year: 1988
Tongue: English
Weight: 74 KB
Volume: 1
Category: Article
ISSN: 0893-6080
DOI: 10.1016/0893-6080(88)90373-5

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Artificial neural networks for thermopie

Artificial neural networks for thermopiezoelectric systems

✍ Mehmet Sunar 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 111 KB 👁 2 views

A radial basis function}arti"cial neural network modelling of thermopiezoelectric systems is presented. The neural network model can emulate the electrical response of two thermopiezoelectric layers bonded on a cantilever beam structure. The electrical outputs of thermopiezoelectric layers are due t

Modeling and prediction of chaotic syste

Modeling and prediction of chaotic systems with artificial neural networks

✍ Jonathan W. Woolley; P. K. Agarwal; John Baker 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 434 KB 👁 1 views

Modeling of Pain Using Artificial Neural

Modeling of Pain Using Artificial Neural Networks

✍ M. HAERI; D. ASEMANI; Sh. GHARIBZADEH 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 197 KB

In dealing with human nervous system, the sensation of pain is as sophisticated as other physiological phenomena. To obtain an acceptable model of the pain, physiology of the pain has been analysed in the present paper. Pain mechanisms are explained in block diagram representation form. Because of t

Artificial neural networks for flexible

Artificial neural networks for flexible manufacturing systems scheduling

✍ Serge Toure; Luis Rabelo; Tomas Velasco 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 348 KB

Approximate physical modelling in dynami

Approximate physical modelling in dynamic PSA using artificial neural networks

✍ M. Marseguerra; M. Nutini; E. Zio 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 712 KB

The continuous increase in the computational power of modern computers allows us to consider the feasibility of extending the present PSA studies, based on the usual probabilistic approach, to those aspects connected with the plant's dynamics. Indeed, in many cases the evolution of the process varia

Artificial Neural Networks for Modeling

Artificial Neural Networks for Modeling Knowing and Learning in Science

✍ Wolff-Michael Roth 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 94 KB 👁 2 views

Recent neurobiological evidence suggests that environmentally derived activity plays a central role in regulating neuronal growth and neuronal connectivity. Artificial neural networks with distributed representations display many features of knowing and learning that are known from biological intell