Orthogonal least squares
โ Scribed by J. R. Howell
- Publisher
- John Wiley and Sons
- Year
- 1976
- Tongue
- English
- Weight
- 131 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0022-3549
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
There are two commonly used partial least squares (PLS) regression algorithms. 1 -3 The first, the orthogonal scores algorithm, is the older one, 4 whereas the second, the orthogonal loadings algorithm, is more recent. 5 Their difference lies in the decomposition of the data matrix X = โ r i =1 t i
This paper presents an orthogonal least-squares (OLS)-based modeling method, named dynamic OLS (D-OLS), for generating recurrent fuzzy models. A dynamic-neuron-based fuzzy neural network is proposed, comprising generalized Takagi-Sugeno-Kang (TSK) fuzzy rules, whose consequent parts consist of dynam