Modelling of an Extended Brutedl Algorithm for Rule Extraction
نویسندگان
چکیده
منابع مشابه
An Extended Genetic Rule Induction Algorithm
This paper describes an extension of a GAbased, separate-and-conquer propositional rule induction algorithm called SIA [24]. While the original algorithm is computationally attractive and is also able to handle both nominal and continuous attributes efficiently, our algorithm further improves it by taking into account of the recent advances in the rule induction and evolutionary computation com...
متن کاملGROPUS - an adaptive rule based algorithm for information extraction
Internet, mass media, scientific literature are the source of huge, continuously growing amount of information that is comprised by natural language texts and stored in digital form. This information can hardly be immediately accessed and processed by computers while human access is often connected with a timeconsuming search. Extracting and storing it in a formal representation (e.g. in form o...
متن کاملreCORE - A Coevolutionary Algorithm for Rule Extraction
A coevolutionary algorithm called reCORE for rule extraction from databases was proposed in the paper. Knowledge is extracted in the form of simple implication rules IF-THEN-ELSE. There are two populations involved, one for rules and second for rule sets. Each population has a distinct evolution scheme. One individual from rule set population and a number of individuals from rule population con...
متن کاملDestructive Algorithm for Rule Extraction Based on
The present paper introduces a new destructive algorithm for rule extraction based on a trained neural network. The degree of complexity of neural network increases exponentially as a factor of the numbers of input and hidden nodes. Therefore, the dimensionality of the trained neural network is reduced by using a proposed destructive algorithm to extract only the most effective values of the in...
متن کاملan application of fuzzy logic for car insurance underwriting
در ایران بیمه خودرو سهم بزرگی در صنعت بیمه دارد. تعیین حق بیمه مناسب و عادلانه نیازمند طبقه بندی خریداران بیمه نامه براساس خطرات احتمالی آنها است. عوامل ریسکی فراوانی می تواند بر این قیمت گذاری تاثیر بگذارد. طبقه بندی و تعیین میزان تاثیر گذاری هر عامل ریسکی بر قیمت گذاری بیمه خودرو پیچیدگی خاصی دارد. در این پایان نامه سعی در ارائه راهی جدید برای طبقه بندی عوامل ریسکی با استفاده از اصول و روش ها...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Applied Mathematics
سال: 2016
ISSN: 2330-0043
DOI: 10.11648/j.ajam.20160406.20