๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Neural network approach to the ECM problem

โœ Scribed by Keniti Gonoi; Takakazu Kurokawa


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
128 KB
Volume
32
Category
Article
ISSN
0882-1666

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Neural network approach to image reconst
โœ Yuanmei Wang ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 193 KB ๐Ÿ‘ 1 views

In this article, we formulate the image reconstruction In the early 1980s, Hopfield 11] presented a model of problem in terms of a multicriteria optimization-based neural network neural computation that was based on the interaction of neurons. model, and study its performance. The value of neural

A unified approach to network location p
โœ Nickel, Stefan; Puerto, Justo ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 124 KB ๐Ÿ‘ 2 views

In this paper, we introduce a new type of single-facility location problem on networks which includes as special cases most of the classical criteria in the literature. Structural results as well as a finite dominating set for the optimal locations are developed. Also, the extension to the multifaci

A neural-network approach to the inverse
โœ A-K. Hamid ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 208 KB ๐Ÿ‘ 2 views

A nertral-neh~orh approucli is riei.ekiped to itiwstigate tl7e irii,erse ~caftt'rrti,y from a perfectlv coridrrcring circular d i n d e r due to a normal field incidence. The neural network, is itsed to predict the electrical radius ka of ( I circular cylinder h\ rewi enng the coinp1e.u coefficients

A finite-element neural-network approach
โœ Giulio Fedi; Alessio Gaggelli; Stefano Manetti; Giuseppe Pelosi ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 116 KB

Figure 6 Measured axial ratio in the broadside direction against frequency for the proposed antenna in Figure 5 with left-hand CP ลฝ . radiation feed at point A ; h s 1.6 mm, s 4.4, L s 30 mm, r ลฝ . ลฝ . ลฝ . S s 6.4 mm 4.7 โ€ , 5.0 mm 0 โ€ , d s 11.2 mm 4.7 โ€ , 12.2 mm ลฝ . 0 โ€ TABLE 2 Characteristics of

Improving the pricing of options: a neur
โœ Ulrich Anders; Olaf Korn; Christian Schmitt ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 299 KB ๐Ÿ‘ 1 views

In this paper we apply statistical inference techniques to build neural network models which are able to explain the prices of call options written on the German stock index DAX. By testing for the explanatory power of several variables serving as network inputs, some insight into the pricing proces