𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A neural network model based on logical operations

✍ Scribed by Jingzhou Zhou


Publisher
Springer
Year
1998
Tongue
English
Weight
328 KB
Volume
13
Category
Article
ISSN
1000-9000

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Design neural networks based fuzzy logic
✍ Yupu Yang; Xiaoming Xu; Wenyuan Zhang πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 95 KB

The integration of fuzzy logic and neural networks has given birth to an emerging technology ΓΏeld, fuzzy neural networks. The fuzzy neural networks have the potential to capture the beneΓΏts of the two fascinating ΓΏelds into a single capsule. In this paper three approaches of implementing and constru

Logic programming on a neural network
✍ Wan Ahmad Tajuddin Wan Abdullah πŸ“‚ Article πŸ“… 1992 πŸ› John Wiley and Sons 🌐 English βš– 412 KB

We propose a method of doing logic programming on a Hopfield neural network. Optimization of logical consistency is carried out by the network after the connection strengths are defined from the logic program; the network relaxes to neural states corresponding to a valid (or near-valid) interpretati

Response models based on bagging neural
✍ Kyoungnam Ha; Sungzoon Cho; Douglas MacLachlan πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 217 KB

Identifying customers who are likely to respond to a product offering is an important issue in direct marketing.Response models are typically built from historical purchase data. A popular method of choice, logistic regression, is easy to understand and build, but limited in that the model is linear

Invertible operations on a Cellular Neur
✍ Csapodi, MΓ‘rton; Vandewalle, Joos; Roska, TamΓ‘s πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 315 KB πŸ‘ 2 views

This paper is concerned with the invertibility of parallel operations definable on two-dimensional binary arrays by means of a local Boolean function. In this way, it contributes to the theory of cellular automata and may open new potentialities to cellular neural network applications. We provide a

Membrain: A cellular neural network mode
✍ J. Henseler; P. J. Braspenning πŸ“‚ Article πŸ“… 1992 πŸ› John Wiley and Sons 🌐 English βš– 940 KB

## Abstract This paper introduces the Membrain model describing a neural network architecture which is similar to the architecture underlying the class of cellular neural networks (CNNs). the main difference pertains to the characteristic processing equation, which is based on a wave equation inste

A neural network-based shape control sys
✍ Yan Peng; Hongmin Liu; R. Du πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 621 KB

In cold steel rolling, strip shape is crucial to product quality. For modern rolling mills, there are a number of different ways to control the strip shape, including adjusting the side depression, bending the work rolls and axial shifting the middle roll. However, these controls are not independent