Grammatical Immune System Evolution for Reverse Engineering Nonlinear Dynamic Bayesian Models
نویسندگان
چکیده
منابع مشابه
Grammatical Immune System Evolution for Reverse Engineering Nonlinear Dynamic Bayesian Models
An artificial immune system algorithm is introduced in which nonlinear dynamic models are evolved to fit time series of interacting biomolecules. This grammar-based machine learning method learns the structure and parameters of the underlying dynamic model. In silico immunogenetic mechanisms for the generation of model-structure diversity are implemented with the aid of a grammar, which also en...
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ژورنال
عنوان ژورنال: Cancer Informatics
سال: 2008
ISSN: 1176-9351,1176-9351
DOI: 10.4137/cin.s694