✦ LIBER ✦

Autoprogressive training of neural network constitutive models

✍ Scribed by Jamshid Ghaboussi; David A. Pecknold; Mingfu Zhang; Rami M. Haj-Ali

Publisher: John Wiley and Sons
Year: 1998
Tongue: English
Weight: 251 KB
Volume: 42
Category: Article
ISSN: 0029-5981
DOI: 10.1002/(sici)1097-0207(19980515)42:1<105::aid-nme356>3.0.co;2-v

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Implicit constitutive modelling for visc

Implicit constitutive modelling for viscoplasticity using neural networks

✍ Tomonari Furukawa; Genki Yagawa 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 281 KB 👁 2 views

Up to now, a number of models have been proposed and discussed to describe a wide range of inelastic behaviours of materials. The fatal problem of using such models is however the existence of model errors, and the problem remains inevitably as far as a material model is written explicitly. In this

Attractor neural network models of spati

Attractor neural network models of spatial maps in hippocampus

✍ Misha Tsodyks 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 145 KB 👁 1 views

Hippocampal pyramidal neurons in rats are selectively activated at specific locations in an environment (O'Keefe and Dostrovsky, Brain Res 1971;34:171-175). Different cells are active in different places, therefore providing a faithful representation of the environment in which every spatial locatio

Stability of equilibria in a neural netw

Stability of equilibria in a neural network model

✍ E. Barone; C. Tebaldi 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 116 KB 👁 1 views

Neural network modeling of batch cell gr

Neural network modeling of batch cell growth pattern

✍ Mei-Jywan Syu; George T. Tsao 📂 Article 📅 1993 🏛 John Wiley and Sons 🌐 English ⚖ 418 KB

A new approach to real-time training of

A new approach to real-time training of dynamic neural networks

✍ Fahmida N. Chowdhury 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 280 KB 👁 2 views

Gas atomization of polymers. II. Computa

Gas atomization of polymers. II. Computational neural network modeling

✍ Joshua U. Otaigbe; Donald W. Noid; Bobby Sumpter 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 254 KB 👁 1 views

A novel gas atomization process (GAP) was designed for mass producing high-quality spherical powders from molten polymers. The dependence of the powder characteristics, such as particle size and size distribution on the GAP control variables, and physical properties of the polymers were determined e