Sentence examples for extraction of rules from inspiring English sources

As it extracts rules directly from data, the proposed method avoids the random extraction of rules.

Moreover, our model is superior to a previous algorithm for the extraction of rules from general neural networks.

Moreover, QSPR models can be used to assist the design of new libraries and for extraction of rules and relationships, yielding knowledge about catalysis.

The extraction of rules proposed for the FCA-Based algorithm presents polynomial complexity and does not require the predefinition of the number of rules to be extracted.

Importantly, all the methodological developments presented in this article have been implemented as a software platform, which includes identification of MMPs, extraction of rules (significant transformations), and integration with an online QSAR framework and chemical database (OCHEM).

The knowledge-based artificial neural network (KBANN) is composed of phases involving the expression of domain knowledge, the abstraction of domain knowledge at neural networks, the training of neural networks, and finally, the extraction of rules from trained neural networks.

They are well suited for the development of interactive data analysis tools, which enable the extraction of rule-based knowledge from data and the introduction of a priori knowledge in the process of data analysis and system identification.

Two critical processes involve the imposition of a knowledge base of symbolic rules into a neural network architecture and the extraction of symbolic rules from the neural network following a learning phase.

In building a scalable associative classifier, we have been guided by the two following design principles: (i) anticipating pruning before the actual extraction of the rules, and (ii) moving from a large model that predicts with only the first matching rule toward a lightweight model, that compensates the loss in size by applying all the rules that match.

For the second step, after the extraction of association rules in the form of A → B, the support, confidence, and lift of each extracted rule is computed using the Apriori algorithm.

While the extraction of concrete rules relies on the constancy of specific feature values of the respective stimuli, extraction and application of abstract rules also works with stimuli the organism has never encountered before.