1 resultado para Systems Biology
em Digital Peer Publishing
Filtro por publicador
- Aberdeen University (12)
- Abertay Research Collections - Abertay University’s repository (3)
- Aberystwyth University Repository - Reino Unido (6)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (6)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (6)
- Applied Math and Science Education Repository - Washington - USA (2)
- Aquatic Commons (13)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (23)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (10)
- Biodiversity Heritage Library, United States (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (39)
- Brock University, Canada (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (3)
- Cambridge University Engineering Department Publications Database (16)
- CentAUR: Central Archive University of Reading - UK (26)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (7)
- Cochin University of Science & Technology (CUSAT), India (4)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Archives@Colby (1)
- Digital Commons - Montana Tech (1)
- Digital Commons at Florida International University (9)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (13)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (6)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (6)
- Glasgow Theses Service (5)
- Helda - Digital Repository of University of Helsinki (7)
- Indian Institute of Science - Bangalore - Índia (19)
- Instituto Gulbenkian de Ciência (3)
- Instituto Nacional de Saúde de Portugal (1)
- Massachusetts Institute of Technology (2)
- National Center for Biotechnology Information - NCBI (7)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Publishing Network for Geoscientific & Environmental Data (6)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (42)
- Queensland University of Technology - ePrints Archive (525)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (25)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad de Alicante (1)
- Universidad Politécnica de Madrid (2)
- Universidade Complutense de Madrid (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (1)
- Université de Montréal (1)
- Université de Montréal, Canada (8)
- University of Michigan (5)
- University of Queensland eSpace - Australia (19)
- University of Washington (2)
- WestminsterResearch - UK (1)
Relevância:
Resumo:
This book on biological cybernetics combines system theory and artificial neural networks. Following a 'holistic' approach, the book examines the role of simulation in biology. Mainly addressed to students of Biology, the book tries to avoid the use of mathematical formula as far as possible. Exercises can be performed with a related software tool (tkCybernetics) for part 1 as well as with educational simulation on neural networks for part two (in prepration.)