๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Chance effects using (artificial) neural networks for data analysis

โœ Scribed by DavidT. Manallack; DavidJ. Livingstone


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
270 KB
Volume
11
Category
Article
ISSN
0263-7855

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Artificial neural networks for structura
โœ Ronald A. Perez; Kang-Ning Lou ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 668 KB

In this work we use the continuous Hopfield network and the continuous bidirectional associative memory system (BAM) in order to develop two novel methodsJbr structural analysis. The development of these techniques is based on the analogous relationship that results J?om comparing the eneryy functio

Analysis of 31P MR spectroscopy data usi
โœ Jane H. Park; Suresh Kari; Lloyd E. King Jr; Nancy J. Olsen ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 214 KB ๐Ÿ‘ 1 views

Classical myopathic dermatomyositis (DM) is a chronic autoimmune disease characterized by an erythematous rash and severe, proximal muscle weakness. A disease variant, amyopathic DM, presents with the typical rash but without clinical evidence of muscle weakness. Prednisone and immunosuppressive dru

Evaluation of muscle diseases using arti
โœ Suresh Kari; Nancy J. Olsen; Jane H. Park ๐Ÿ“‚ Article ๐Ÿ“… 1995 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 822 KB

## Abstract Dermatomyositis is an autoimmune disease characterized by an erythematous rash and severe muscle weakness. ^31^P Magnetic resonance spectroscopy (MRS) provides quantitative data for longitudinal monitoring of disease status and responses to immunosuppressive therapy. A disease variant,