Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Claude Cachet"'
Publikováno v:
Analusis. 27:81-90
The design of systems for spectral data interpretation requires clustering of chemical compounds based on their spectral characteristics. Kohonen networks have been shown to be efficient tools to achieve this clustering. These auto-organising systems
Publikováno v:
Analytica Chimica Acta. 348:255-265
A hierarchical system of small feed forward neural-networks is used to extract structural information from infrared spectra. The top-level network gives a rough classification in five non-exclusive classes: compounds containing carbonyl, hydroxyl, am
Publikováno v:
Neural Computing & Applications. 1:229-239
An application of Artificial Neural Networks (ANN) to the substructure detection, from infrared spectra, of organic compounds is described. Several ANNs have already been implemented for this purpose, and show promising initial results; however, many
Publikováno v:
Journal of Chemical Information and Computer Sciences. 33:202-210
Autor:
Claude Cachet, Thierry Laidboeur, Christophe Cleva, A. Eghbaldar, Thomas P. Forrest, Daniel Cabrol-Bass
Publikováno v:
Data and Knowledge in a Changing World ISBN: 9783642802010
Quality control in the construction and usage of factual databases is a well known problem. Classical methods of data inspection are not adequate for spectro-structural data of a large number of molecular spectra of various origins (IR, MS, NMR, etc.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df9e1ce769dceb5f40ececc7af6a7c3
https://doi.org/10.1007/978-3-642-80199-0_11
https://doi.org/10.1007/978-3-642-80199-0_11
Publikováno v:
Computers & Education. 10:81-87
Developing problem solving skills is an important educational objective in science teaching. In conventional applications of Computer-Assisted Learning, students are trained through tutorials, drill and practice, guided problems and simulation. One o
Autor:
D. Cabrol, Claude Cachet
Publikováno v:
European Journal of Science Education. 3:303-312
Summaries English One of the main aims in the teaching of science is the acquisition of an experimental methodology. The principal obstacles to this methodological training are briefly analysed; they arise mainly from the shortage of time available f
Publikováno v:
ACS Symposium Series ISBN: 9780841209664
Artificial Intelligence Applications in Chemistry
Artificial Intelligence Applications in Chemistry
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c009ead03ce1188cdd0639d6a54b866
https://doi.org/10.1021/bk-1986-0306.ch011
https://doi.org/10.1021/bk-1986-0306.ch011
Publikováno v:
Chemischer Informationsdienst. 5
Publikováno v:
Journal of Chemical Education. 62:1094
66. Examines issues surrounding the student use of computers for solving problems, particularly during examinations.