✦ LIBER ✦

Depth from defocusing using a neural network

✍ Scribed by D.T. Pham; V. Aslantas

Book ID: 108363735
Publisher: Elsevier Science
Year: 1999
Tongue: English
Weight: 673 KB
Volume: 32
Category: Article
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(98)00055-7

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Neural network for crack-depth determina

Neural network for crack-depth determination from ultrasonic backscattering data

📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 165 KB

Enhancement of OMI aerosol optical depth

Enhancement of OMI aerosol optical depth data assimilation using artificial neural network

✍ A. Ali, S. E. Amin, H. H. Ramadan, M. F. Tolba 📂 Article 📅 2012 🏛 Springer-Verlag 🌐 English ⚖ 939 KB

Depth determination of surface-breaking

Depth determination of surface-breaking cracks by a neural network

✍ Kitahara, M.; Achenbach, J.D.; Guo, Q.C.; Peterson, M.; Ogi, T.; Notake, M. 📂 Article 📅 1992 🏛 Elsevier Science 🌐 English ⚖ 178 KB

Relational Matching Using a Neural Netwo

Relational Matching Using a Neural Network

✍ Noboru Katta; Hideya Takahashi; Kenji Matsushita; Eiji Shimizu 📂 Article 📅 1990 🏛 John Wiley and Sons 🌐 English ⚖ 549 KB

## Abstract This paper proposes an algorithm for relational matching, which is important in pattern recognition, by using the Hopfield model as one of the neural network models. First, the objective function for relational matching is derived and the computer simulation of the neural networking for

Image segmentation using a neural networ

Image segmentation using a neural network

✍ A. Ghosh; N. R. Pal; S. K. Pal 📂 Article 📅 1991 🏛 Springer-Verlag 🌐 English ⚖ 990 KB

Deconvolution using a CMAC neural networ

Deconvolution using a CMAC neural network

✍ E.H. Glanz; W.T. Miller 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 160 KB