HREM Image Analysis of III–V Heterostructures Based on Neural Networks
✍ Scribed by R. Hillebrand; H. Kirschner; P. Werner; U. Gösele
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 919 KB
- Volume
- 222
- Category
- Article
- ISSN
- 0370-1972
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Neural networks are proposed for efficient temperature-dependent modeling of small-signal and noise performances of low-noise microwave transistors over a wide temperature range. The proposed models can be based either on neural networks only or on a combination of neural networks and empirical tran
A simple and efficient procedure for modeling of scattering and noise parameters for a class of microwave transistors manufactured in the same technology is presented in this article. It is based on multilayer perceptron artificial neural networks (ANN), whose inputs are device gate width, biases, a
The processing of half-tone images by excitable media functioning based on non-linear dynamic mechanisms was studied. The image-processing operations proved to be somewhat more complicated than in the case of black-and-white images. Analogies between the architecture of neural networks and the struc