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- Bio99 45. Biometrischer Kongress, Dortmund
- A Multi-agent Approach to Fuzzy Modelling
This project investigates the techniques for structural and parametric identification in an attempt to represent and reason about vague knowledge with fuzzy production rules. It aims to create an automated system for generating fuzzy rules from numerical data with minimal human intervention. Current investigation follows a multi-agent approach, applying a clustering algorithm to form the initial membership functions of the fuzzy values, developing a rule induction mechanism to construct the initial rule base, and adapting an evolutionary computation method to perform the fine-tuning of the resulting membership functions and rules. To test the ideas, the multi-agent system will be utilised to solve realistic problems in engineering and financial domains.
- Virtual Barley Barley Modelling and Simulation
On this site, a computergraphic model is presented that - based on the vlab - is visualizing barley spike (Hordeum vulgare L.) phenotypes using genotype information. Also,a set of sensitive maps containing all morphological mutants is provided.
- Biologieprojekte
Bioakustik, Ethologie, Hirsche, Wildschweinee, Rotwild, Damwild, Genetik, Humangenetik, Kaspar hauser, Gentechnik, Anthropologie, Neandertaler, Rhein, Pfaffendorf, Baum, Bäume, Computereinsatz, Sonnenfinsternis, Flechten, Wachstum
- BMA Graduate Program Biomathematics Graduate Program
- Causal Explanation for Model-based Diagnoses of Dynamic Systems
Process supervision becomes increasingly important as a major factor affecting the efficiency of the manufacturing industries. An important problem in process supervision is the diagnosis of faults affecting the normal operation of the plant. Model-based diagnosis (MBD) allows the automatic location of faults by reasoning about explicit models of the plant under consideration. This approach offers many advantages over the alternative of relying on a rule base of anticipated or previously encountered malfunctions. Although much research has been done on the development of the diagnostic techniques, the area of explanation in MBD has been largely unexplored, especially in diagnosing dynamic systems containing feedback loops. This research aims to develop an explanation mechanism which will reveal the causal relationships between the diagnostic findings, returned by an MBD system working in a dynamic environment, and the observed behaviour of the plant. The focus of the work is to ensure that the generated explanations will achieve two fundamental design requirements: a) offering a meaningful causal interpretation of the found fault, explaining not just what fault model reflects the observed faulty behaviour of the plant, but also how and why, and b) presenting information in a format that is comprehensible to the human user. This approach to self-explanatory fault diagnosis has the potential of helping increase the effectiveness and efficiency of process supervision in industrial applications.
- LECB Laboratory of Experimental and Computational Biology
- Mathematical Biology
- Mathematics and Biology
- Mathematics in Biology
- SMB Society for Mathematical Biology
- Software for behavioural studies
This company provides powerfull tools for analysing behaviour experiments of all kinds of animals. For example 2D and 3D ( ) tracking software.
- CMB The Centre for Mathematical Biology, Oxford
- ISTMB The Israeli Society for Theoretical and Mathematical Biology
© 2000 by Kurt Stüber