𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Cellular neural network with trapezoidal activation function

✍ Scribed by Erdem Bilgili; İzzet Cem Göknar; Osman Nuri Ucan

Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
506 KB
Volume
33
Category
Article
ISSN
0098-9886

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Complex valued neural network with Möbiu
Complex valued neural network with Möbius activation function
✍ Necati Özdemir; Beyza B. İskender; Nihal Yılmaz Özgür 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 217 KB

In this work, we propose a new type of activation function for a complex valued neural network (CVNN). This activation function is a special Möbius transformation classified as reflection. It is bounded outside of the unit disk and has partial continuous derivatives but not differentiable since it d

Estimating optical flow with cellular ne
Estimating optical flow with cellular neural networks
✍ Shi, B. E.; Roska, T.; Chua, L. O. 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 412 KB 👁 2 views

The cellular neural network is a locally interconnected neural network capable of high-speed computation when implemented in analog VLSI. This work describes a CNN algorithm for estimating the optical flow from an image sequence. The algorithm is based on the spatio-temporal filtering approach to im

DESIGN AND LEARNING WITH CELLULAR NEURAL
DESIGN AND LEARNING WITH CELLULAR NEURAL NETWORKS
✍ NOSSEK, JOSEF A. 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 752 KB

The template coefficients (weights) of a CNN which will give a desired performance, can either be found by design or by learning. 'By design' means that the desired function to be performed can be translated into a set of local dynamic rules, while 'by learning' is based exclusively on pairs of inpu