1 resultado para Polynomial powers of sigmoid
em Universidade Federal de Uberlândia
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (1)
- Abertay Research Collections - Abertay University’s repository (1)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (3)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (11)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Archive of European Integration (26)
- Aston University Research Archive (18)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (8)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (55)
- Biodiversity Heritage Library, United States (1)
- Blue Tiger Commons - Lincoln University - USA (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (18)
- Brock University, Canada (16)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (25)
- CentAUR: Central Archive University of Reading - UK (63)
- Central European University - Research Support Scheme (1)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (2)
- Cochin University of Science & Technology (CUSAT), India (12)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (4)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (52)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- CUNY Academic Works (5)
- Dalarna University College Electronic Archive (5)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Archives@Colby (2)
- Digital Commons - Michigan Tech (2)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons at Florida International University (4)
- Digital Peer Publishing (2)
- DigitalCommons@The Texas Medical Center (3)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (19)
- Duke University (2)
- Galway Mayo Institute of Technology, Ireland (1)
- Glasgow Theses Service (2)
- Harvard University (1)
- Institute of Public Health in Ireland, Ireland (4)
- Instituto Politécnico do Porto, Portugal (9)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (5)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (4)
- Memoria Académica - FaHCE, UNLP - Argentina (3)
- Nottingham eTheses (2)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (2)
- Publishing Network for Geoscientific & Environmental Data (1)
- QSpace: Queen's University - Canada (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (6)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (2)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- REPOSITÓRIO ABERTO do Instituto Superior Miguel Torga - Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (11)
- Repositório da Produção Científica e Intelectual da Unicamp (3)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (9)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade de Brasília (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (62)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (12)
- School of Medicine, Washington University, United States (2)
- Scielo Saúde Pública - SP (57)
- Scientific Open-access Literature Archive and Repository (1)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (2)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (9)
- Universidad Politécnica de Madrid (13)
- Universidade Complutense de Madrid (3)
- Universidade do Minho (5)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Pará (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (12)
- Universidade Metodista de São Paulo (6)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (12)
- Université de Lausanne, Switzerland (36)
- Université de Montréal (2)
- Université de Montréal, Canada (30)
- Université Laval Mémoires et thèses électroniques (3)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (2)
- University of Michigan (127)
- University of Queensland eSpace - Australia (35)
- WestminsterResearch - UK (2)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
This work's objective is the development of a methodology to represent an unknown soil through a stratified horizontal multilayer soil model, from which the engineer may carry out eletrical grounding projects with high precision. The methodology uses the experimental electrical apparent resistivity curve, obtained through measurements on the ground, using a 4-wire earth ground resistance tester kit, along with calculations involving the measured resistance. This curve is then compared with the theoretical electrical apparent resistivity curve, obtained through calculations over a horizontally strati ed soil, whose parameters are conjectured. This soil model parameters, such as the number of layers, in addition to the resistivity and the thickness of each layer, are optimized by Differential Evolution method, with enhanced performance through parallel computing, in order to both apparent resistivity curves get close enough, and it is possible to represent the unknown soil through the multilayer horizontal soil model fitted with optimized parameters. In order to assist the Differential Evolution method, in case of a stagnation during an arbitrary amount of generations, an optimization process unstuck methodology is proposed, to expand the search space and test new combinations, allowing the algorithm to nd a better solution and/or leave the local minima. It is further proposed an error improvement methodology, in order to smooth the error peaks between the apparent resistivity curves, by giving opportunities for other more uniform solutions to excel, in order to improve the whole algorithm precision, minimizing the maximum error. Methodologies to verify the polynomial approximation of the soil characteristic function and the theoretical apparent resistivity calculations are also proposed by including middle points among the approximated ones in the verification. Finally, a statistical evaluation prodecure is presented, in order to enable the classication of soil samples. The soil stratification methodology is used in a control group, formed by horizontally stratified soils. By using statistical inference, one may calculate the amount of soils that, within an error margin, does not follow the horizontal multilayer model.