High-speed and high-accuracy learning using a self-organization network and a supervised network
โ Scribed by Yoshikazu Miyanaga; Koji Tochinai
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 757 KB
- Volume
- 79
- Category
- Article
- ISSN
- 1042-0967
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
With the advent of broadband integrated services digital network (B-ISDN), there is the increasing need for high-speed multimedia systems also in the area of local area networks (LANs). It is obvious that the conventional systems such as CSMA/CD or token ring cannot cope with those requirements. At
In the ATM system, all multimedia information, such as voice, picture and data, is divided into packets with the fixed length of 53 bytes, called cells, and the cells are transferred. Intensive studies have been made on the performance of the system, where such multimedia information is multiplexed
This paper proposes a new method for reducing the number of colors in an image. The proposed approach uses both the image color components and local image characteristics to feed a Kohonen self-organized feature map (SOFM) neural network. After training, the neurons of the output competition layer d
A latent structure analysis of pharmaceutical formulations was performed using Kohonen's self-organizing map (SOM) and a Bayesian network. A hydrophilic matrix tablet containing diltiazem hydrochloride (DTZ), a highly water-soluble model drug, was used as a model formulation. Nonlinear relationship