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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
|
Σειρά: | Studies in Computational Intelligence,
122 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.