Applications of computational intelligence in biology : current trends and open problems
Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ys...
সংরক্ষণ করুন:
| অন্যান্য লেখক: | , , |
|---|---|
| বিন্যাস: | Livre numérique |
| ভাষা: | Anglais |
| প্রকাশিত: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| সংস্করন: | 1st ed. 2008. |
| মালা: | Studies in Computational Intelligence
122 |
| অনলাইন ব্যবহার করুন: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| টীকা: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Applications of computational intelligence in biology, current trends and open problems, Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul-Ella Hassanien (Eds.), Berlin, Springer, 2008, 1 vol. (XXVI-428 p.), Studies in computational intelligence, 978-3-540-78533-0 |
| LEADER | 05217nam a22003497a 4500 | ||
|---|---|---|---|
| 001 | 940493 | ||
| 008 | 080829q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN127049037 | ||
| 020 | |a 9783540785347 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 245 | 0 | 0 | |a Applications of computational intelligence in biology : |b current trends and open problems |c edited by Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul-Ella Hassanien. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 122 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Techniques and Methodologies Statistically Based Pattern Discovery Techniques for Biological Data Analysis Rough Sets In Data Analysis: Foundations and Applications Evolving Solutions: The Genetic Algorithm and Evolution Strategies for Finding Optimal Parameters An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology Current Trends Local Classifiers as a Method of Analysing and Classifying Signals Using Neural Models for Evaluation of Biological Activity of Selected Chemical Compounds Using Machine Vision to Detect Distinctive Behavioral Phenotypes of Thread-shape Microscopic Organism Contour Matching for Fish Species Recognition and Migration Monitoring Using Random Forests to Provide Predicted Species Distribution Maps as a Metric for Ecological Inventory & Monitoring Programs Visualization and Interactive Exploration of Large, Multidimensional Data Sets Open Problems Phylogenomics, Protein Family Evolution, and the Tree of Life: An Integrated Approach between Molecular Evolution and Computational Intelligence Computational Aspects of Aggregation in Biological Systems Conceptual Biology Research Supporting Platform: Current Design and Future Directions Computational Intelligence in Electrophysiology: Trends and Open Problems Cognitive Biology Using Broad Cognitive Models to Apply Computational Intelligence to Animal Cognition Epistemic Constraints on Autonomous Symbolic Representation in Natural and Artificial Agents | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying their research inquiries. On the other hand, computational intelligence practitioners are often unfamiliar with the part- ular problems that their new, state-of-the-art algorithms could be successfully applied for. The separation between the two worlds is partially caused by the use of di erent languages in these two spheres of science, but also by the relatively small number of publications devoted solely to the purpose of fac- itating the exchange of new computational algorithms and methodologies on one hand, and the needs of the biology realm on the other. The purpose of this book is to provide a medium for such an exchange of expertise and concerns. In order to achieve the goal, we have solicited cont- butions from both computational intelligence as well as biology researchers | ||
| 700 | 1 | |a Smolinski, Tomasz G. |4 pbd | |
| 700 | 1 | |a Milanova, Mariofanna G. |4 pbd | |
| 700 | 1 | |a Hassanien, Aboul Ella, |d 1964- |4 pbd | |
| 776 | 0 | |0 127110542 |t Applications of computational intelligence in biology |o current trends and open problems |f Tomasz G. Smolinski, Mariofanna G. Milanova, Aboul-Ella Hassanien (Eds.) |c Berlin |n Springer |d 2008 |p 1 vol. (XXVI-428 p.) |s Studies in computational intelligence |z 978-3-540-78533-0 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-540-78534-7 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-GJVZGD72-M |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747860106 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-540-78534-7 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750877642 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-540-78534-7 |z Accès INSA CVL | |
| 997 | |0 940493 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||