𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function

✍ Scribed by E. Soria-Olivas; J.D. Martín-Guerrero; A.J. Serrano-López; J. Calpe-Maravilla; J. Vila-Francés; G. Camps-Valls

Book ID
113814118
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
212 KB
Volume
69
Category
Article
ISSN
0925-2312

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Classification methodologies of multilay
Classification methodologies of multilayer perceptrons with sigmoid activation functions
✍ Gao Daqi; Ji Yan 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 478 KB

This paper studies the classification mechanisms of multilayer perceptrons (MLPs) with sigmoid activation functions (SAFs). The viewpoint is presented that in the input space the hyperplanes determined by the hidden basis functions with values 0's do not play the role of decision boundaries, and suc

Modelling of a fermentation process usin
Modelling of a fermentation process using Multi-Layer Perceptrons: Epochs vs Pattern learning, Sigmoid vs Linear transfer function
✍ D. Tsaptsinos; J.R. Leigh 📂 Article 📅 1993 🏛 Elsevier Science ⚖ 383 KB

A number of differently configured Multi-Layer Perceptrons (MLP) were tested and compared for the system modelling of a highly non-linear fermentation process. The MLPs differed with respect to the inputs, the transfer functions, and the weight-updating schemes employed. In this paper it is shown th