2013 | OriginalPaper | Chapter
Automatic Prediction of Poisonous Mushrooms by Connectionist Systems
Authors : María Navarro Cáceres, María Angélica González Arrieta
Published in: Distributed Computing and Artificial Intelligence
Publisher: Springer International Publishing
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The research offers a quite simple view of methods to classify edible and poisonous mushrooms. In fact, we are looking for not only classification methods but also for an application which supports experts’ decisions. To achieve our aim, we will study different structures of neural nets and learning algorithms, and select the best one, according to the test results.