Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alexopoulos, C.J.Y., Mins, C.W.: Introducción a la Micología. Omega, Barcelona (1985)
Ruiz Herrera, J.: El asombroso reino de los hongos. Avance y Perspectiva. Colección Micológica, Herbario de la Facultad de Biología (2001)
Micology experts and amateurs, http://www.micologia.net/
Palazó, F.: Setas para todos. Pirineo, Castellano (2001)
García Rollán, M.: Setas venenosas: intoxicaciones y prevención. Ministerio de Sanidad y Consumo, Madrid, Castellano (1990)
Chai, X., Deng, L., Yang, Q., Ling, C.X.: Test-Cost Sensitive Naive Bayes Classification (2003)
Bay, S.D., Pazzani, M.J.: Detecting Group Differences: Mining Contrast Sets. Data Min. Knowl. Discov. 5 (2001)
Li, J., Dong, G., Ramamohanarao, K., Wong, L.: DeEPs: A New Instance-based Discovery and Classification System. In: Proceedings of the Fourth European Conference on Principles and Practice of Knowledge Discovery in Databases (2001)
Matti, D., Vajda, P., Ebrahimi, T.: Mushroom Recognition (2010)
Hayking, S.: Neural Networks: A Comprehensive Foundation, 2nd edn. Prentice Hall (1998)
Bishop, M.: Neural Networks for Pattern Recognition. Oxford University Press (1995)
Jaynes, E.T.: Probability Theory: The Logic of Science. Cambridge University Press (2003)
Tao, K.K.: A closer look at the radial basis function (RBF) networks. In: Singh, A. (ed.) Conference Record of the Twenty-Seventh Asilomar Conference on Signals, Systems, and Computers. IEEE Comput. Soc. Press, Los Alamitos (1993)
Fine, T.L.: Feedforward Neural Network Methodology, 3rd edn. Springer, Nueva York (1999)
MacKay, D.J.C.: Information Theory, Inference and Learning Algorithms. Cambridge University Press (2004)
Alonso, G., Becerril, J.L.: Introducción a la inteligencia artificial. Multimedia Ediciones, S.A. Barcelona (1993)
Matlab Official Site, http://www.mathworks.es
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Cáceres, M.N., González Arrieta, M.A. (2013). Automatic Prediction of Poisonous Mushrooms by Connectionist Systems. In: Omatu, S., Neves, J., Rodriguez, J., Paz Santana, J., Gonzalez, S. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-319-00551-5_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-00551-5_42
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00550-8
Online ISBN: 978-3-319-00551-5
eBook Packages: EngineeringEngineering (R0)