NEUCOMP is a neural network compiler that compiles a program written as a list of mathematical specifications of neural network (NN) models and then translates it into a chosen target program. A simulation program written in the NEUCOMP language based on selected NN models for solving character reco
The DSFPN: a new neural network and circuit simulation for optical character recognition
β Scribed by Morns, I.P.; Dlay, S.S.
- Book ID
- 119821614
- Publisher
- IEEE
- Year
- 2003
- Tongue
- English
- Weight
- 614 KB
- Volume
- 51
- Category
- Article
- ISSN
- 1053-587X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A new neural network is presented for pattern recognition tasks. This new network., called the Dynamic Supervised Forward-Propagation Network (DSFPN), although based upon the unsupervised Counterpropagation Network (CPN), trains using a supervised aIgorithm. In addition it allows unsupervised dynami
The present paper demonstrates the suitability of artificial neural network (ANN) for modelling of a FinFET in nano-circuit simulation. The FinFET used in this work is designed using careful engineering of source-drain extension, which simultaneously improves maximum frequency of oscillation f max b