𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Neural networks and cluster analysis for unsupervised classification of cultivated species of Tilia (Malvaceae)

✍ Scribed by JONATHAN Y. CLARK

Book ID
110775024
Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
297 KB
Volume
159
Category
Article
ISSN
0024-4074

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

A design and analysis of objective funct
A design and analysis of objective function-based unsupervised neural networks for fuzzy clustering
✍ Hyun-Sook Rhee; Kyung-Whan Oh πŸ“‚ Article πŸ“… 1996 πŸ› Springer US 🌐 English βš– 643 KB

Fuzzy clustering has played an important role in solving many problems. In this paper, we design an unsupervised neural network model based on a fuzzy objective function, called OFUNN. The learning rule for the OFUNN model is a result of the formal derivation by the gradient descent method of a fuzz

Adaptive classification of two-dimension
Adaptive classification of two-dimensional gel electrophoretic spot patterns by neural networks and cluster analysis
✍ JiΕ™Γ­ VohradskΓ½ πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 580 KB

## Adaptive classification of two-dimensional gel electrophoretic spot patterns by neural networks and cluster analysis The interpretation of two-dimensional gel electrophoresis spot profiles can be facilitated by statistical and machine learning programs. Two different approaches to classificatio