Neural Network(NN) is well-known as one of powerful computing tools to solve optimization problems. Due to the massive computing unit-neurons and parallel mechanism of neural network approach we can solve the laxge-scale problem efficiently and optimal solution can be gotten. In this paper, we intor
FLIN: Fuzzy linear interpolating network
โ Scribed by Peter de B. Harrington; Brian W. Pack
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 717 KB
- Volume
- 277
- Category
- Article
- ISSN
- 0003-2670
No coin nor oath required. For personal study only.
โฆ Synopsis
A fuzzy linear interpolating network (FLIN) has been developed that is a local processing neural network. Local processing advantageously furnishes a traceable mechanism of inference and a bounty of diagonlstic information in the variable scores and observation loadings of the processing units. FLIN is a two layer network for which the first layer accomplishes data driven model selection and the second layer provides linear predictive models. A new method of training is presented that enhances the relations between unsupervised and supervised layers of this network. The advantages of FLIN are demonstrated with a spectrophotometic titration of litmus.
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