1 resultado para sand flies
em Universidad de Alicante
Filtro por publicador
- Aberdeen University (4)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (5)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (16)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (12)
- Aston University Research Archive (3)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (17)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (14)
- Biblioteca Valenciana Digital - Ministerio de Educación, Cultura y Deporte - Valencia - Espanha (1)
- Biodiversity Heritage Library, United States (3)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (24)
- Brock University, Canada (6)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (86)
- CentAUR: Central Archive University of Reading - UK (8)
- Center for Jewish History Digital Collections (6)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (51)
- Cochin University of Science & Technology (CUSAT), India (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (4)
- Dalarna University College Electronic Archive (1)
- Deakin Research Online - Australia (45)
- Digital Commons - Michigan Tech (3)
- Digital Commons - Montana Tech (2)
- Digital Peer Publishing (2)
- DigitalCommons - The University of Maine Research (1)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (6)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (21)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (5)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (2)
- Helda - Digital Repository of University of Helsinki (3)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (58)
- Instituto Politécnico de Leiria (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (3)
- National Center for Biotechnology Information - NCBI (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (13)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (250)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (30)
- Queensland University of Technology - ePrints Archive (26)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (2)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (43)
- Universidad Autónoma de Nuevo León, Mexico (3)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (3)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (11)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (1)
- Université Laval Mémoires et thèses électroniques (1)
- University of Connecticut - USA (3)
- University of Michigan (127)
- University of Queensland eSpace - Australia (14)
- University of Washington (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
A new classification of microtidal sand and gravel beaches with very different morphologies is presented below. In 557 studied transects, 14 variables were used. Among the variables to be emphasized is the depth of the Posidonia oceanica. The classification was performed for 9 types of beaches: Type 1: Sand and gravel beaches, Type 2: Sand and gravel separated beaches, Type 3: Gravel and sand beaches, Type 4: Gravel and sand separated beaches, Type 5: Pure gravel beaches, Type 6: Open sand beaches, Type 7: Supported sand beaches, Type 8: Bisupported sand beaches and Type 9: Enclosed beaches. For the classification, several tools were used: discriminant analysis, neural networks and Support Vector Machines (SVM), the results were then compared. As there is no theory for deciding which is the most convenient neural network architecture to deal with a particular data set, an experimental study was performed with different numbers of neuron in the hidden layer. Finally, an architecture with 30 neurons was chosen. Different kernels were employed for SVM (Linear, Polynomial, Radial basis function and Sigmoid). The results obtained for the discriminant analysis were not as good as those obtained for the other two methods (ANN and SVM) which showed similar success.