✦ LIBER ✦

Memorizing and regenerating spatiotemporal patterns with a structured recurrent neural network

✍ Scribed by Yisheng Li; Yoshikazu Miyanaga; Koji Tochinai

Publisher: John Wiley and Sons
Year: 1996
Tongue: English
Weight: 667 KB
Volume: 79
Category: Article
ISSN: 1042-0967
DOI: 10.1002/ecjc.4430790807

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Modelling of shearing behaviour of a res

Modelling of shearing behaviour of a residual soil with Recurrent Neural Network

✍ Zhu, Jian-Hua; Zaman, Musharraf M.; Anderson, Scott A. 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 203 KB 👁 1 views

Modelling of shear behaviour of residual soils is difficult in that there is a significant variability in constituents and structures of the soil. A Recurrent Neural Network (RNN) is developed for modelling shear behaviour of the residual soil. The RNN model appears very effective in modelling compl

Dynamics of a neural network model with

Dynamics of a neural network model with finite connectivity and cycle stored patterns

✍ Daoyun Ji; Beilai Hu; Tianlun Chen 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 827 KB

A recurrent neural network with exponent

A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations

✍ Youshen Xia; Gang Feng; Jun Wang 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 247 KB

Identification and classification of aut

Identification and classification of autoantibody repertoires (Western blots) with a pattern recognition algorithm by an artificial neural network

✍ Franz-Hermann Grus; Priv.-Doz. Dr. med. Christoph W. Zimmermann 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 585 KB

Global exponential periodicity and globa

Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays

✍ Boshan Chen; Jun Wang 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 624 KB

The paper presents theoretical results on the global exponential periodicity and global exponential stability of a class of recurrent neural networks with various general activation functions and time-varying delays. The general activation functions include monotone nondecreasing functions, globally

ChemInform Abstract: Prediction of Vapor

ChemInform Abstract: Prediction of Vapor Pressures of Hydrocarbons and Halohydrocarbons from Molecular Structure with a Computational Neural Network Model.

✍ Eric S. Goll; Peter C. Jurs 📂 Article 📅 2010 🏛 John Wiley and Sons ⚖ 24 KB 👁 2 views