PEÑA MÉNDEZ, Eladia Maria, Marcos BÁEZ, Josef HAVEL and Jaromír VAŇHARA. Aplicaciones de Redes Neuronales (ANN) en Ciencia. (Artificial Neural Network (ANN) in Science.). 4th Edition, Erasmus Program. Spain: Universidad de La Laguna, Tenerife, Spain, 2012, 62 pp. TF-850/2012.
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Basic information
Original name Aplicaciones de Redes Neuronales (ANN) en Ciencia.
Name in Czech Umělé neuronové sítě (ANN) ve vědě.
Authors PEÑA MÉNDEZ, Eladia Maria (724 Spain), Marcos BÁEZ (724 Spain), Josef HAVEL (203 Czech Republic, belonging to the institution) and Jaromír VAŇHARA (203 Czech Republic, guarantor, belonging to the institution).
Edition 4th Edition, Erasmus Program. Spain, 62 pp. TF-850/2012, 2012.
Publisher Universidad de La Laguna, Tenerife, Spain
Other information
Original language English
Type of outcome Teaching aids, texts (including individual chapters in textbooks)
Field of Study 10103 Statistics and probability
Country of publisher Spain
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14310/12:00062882
Organization unit Faculty of Science
Keywords (in Czech) Agriculture; Biology; Chemistry; Farmacology; Forensic; Medicine; Physics
Keywords in English Agriculture; Biology; Chemistry; Farmacology; Forensic; Medicine; Physics
Tags ANN, ANN insect identification, Artificial Intelligence, artificial neural networks
Tags International impact
Changed by Changed by: prof. RNDr. Jaromír Vaňhara, CSc., učo 391. Changed: 19/3/2013 14:45.
Abstract
Artificial Neural Networks (ANN) belonging to the Artificial Intelligence methods play an ever increasing role in modern science. Developed in the 1950s, inspired by the neuron structure and the way how human brain works they have been finding increasingly powerful and exciting applications in all branches of science. The book deals with fundamentals and basic principles of ANN, how to use them, and commented survey of selected examples and/or applications of ANN in Science.
Abstract (in Czech)
Artificial Neural Networks (ANN) belonging to the Artificial Intelligence methods play an ever increasing role in modern science. Developed in the 1950s, inspired by the neuron structure and the way how human brain works they have been finding increasingly powerful and exciting applications in all branches of science. The book deals with fundamentals and basic principles of ANN, how to use them, and commented survey of selected examples and/or applications of ANN in Science.
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