Open access peer-reviewed chapter

Artificial Neural Networks Technology to Model and Predict Plant Biology Process

By Pedro P. Gallego, Jorge Gago and Mariana Landín

Submitted: June 1st 2010Reviewed: October 25th 2010Published: April 11th 2011

DOI: 10.5772/14945

Downloaded: 3570

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Pedro P. Gallego, Jorge Gago and Mariana Landín (April 11th 2011). Artificial Neural Networks Technology to Model and Predict Plant Biology Process, Artificial Neural Networks, Kenji Suzuki, IntechOpen, DOI: 10.5772/14945. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/artificial-neural-networks-methodological-advances-and-biomedical-applications/artificial-neural-networks-technology-to-model-and-predict-plant-biology-process" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

3570total chapter downloads

2Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

The Usefulness of Artificial Neural Networks in Predicting the Outcome of Hematopoietic Stem Cell Transplantation

By Giovanni Caocci, Roberto Baccoli and Giorgio La Nasa

Related Book

First chapter

Review of Application of Artificial Neural Networks in Textiles and Clothing Industries over Last Decades

By Chi Leung Parick Hui, Ng Sau Fun and Connie Ip

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More about us