Modelling molecular and inorganic data of Amanita ponderosa mushrooms using artificial neural networks

Author:

Salvador Cátia,Martins M. Rosário,Vicente Henrique,Neves José,Arteiro José M.,Caldeira A. Teresa

Publisher

Springer Science and Business Media LLC

Subject

Agronomy and Crop Science,Forestry

Reference26 articles.

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3. Caldeira AT, Vicente H, Arteiro JM, Roseiro JC, Neves J (2011a) An artificial intelligence approach to Bacillus amyloliquefaciens CCMI 1051 cultures: application to the production of antifungal compounds. Bioresour Technol 102:1496–1502

4. Caldeira AT, Roseiro JC, Arteiro JM, Neves J, Vicente H (2011b) Production of bioactive compounds against wood contaminant fungi: an artificial intelligence approach. In: Caldeira Fernando (ed) Minimizing the environmental impact of the forest products industries. University Fernando Pessoa, Porto, pp 131–137

5. Commission E (2003) Opinion of the scientific committee on food on the tolerable upper intake level of copper. Health and Consumer Protection Directorate-General, Brussels

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