- Rule Extraction and Insertion to Improve the Performance of a ...🔍
- "Rule Extraction and Insertion to Improve the Performance of a ...🔍
- Rule Extraction using Artificial Neural Networks🔍
- A Simple Rule Extraction Method Using a Compact RBF Neural ...🔍
- Improving Neural Network Performance by Embedding Expert ...🔍
- Rule Extraction from Recurrent Neural Networks🔍
- Neural rule extraction 🔍
- Integrating rules and neural computation🔍
Rule Extraction and Insertion to Improve the Performance of a ...
Rule Extraction and Insertion to Improve the Performance of a ...
Elsarrar, Osama Amhamed, "Rule Extraction and Insertion to Improve the Performance of a Dynamic Cell. Structure Neural Network" (2019). Graduate Theses ...
"Rule Extraction and Insertion to Improve the Performance of a ...
Elsarrar, Osama Amhamed, "Rule Extraction and Insertion to Improve the Performance of a Dynamic Cell Structure Neural Network" (2019). Graduate Theses, ...
Rule Extraction using Artificial Neural Networks - Semantic Scholar
An efficient algorithm to extract rules from artificial neural networks with good generalization ability is presented and extensive experimental results on ...
A Simple Rule Extraction Method Using a Compact RBF Neural ...
McGarry, K.J., MacIntyre, J.: Knowledge Extraction and Insertion from Radial Basis Function Networks. ... Improving Classification Performance. IEEE Trans. System ...
Improving Neural Network Performance by Embedding Expert ...
“Extraction, insertion and refinement of symbolic rules in dynamically driven recurrent neural networks.” Connection Science, 5 (3-4) (1993), pp. 307-337.
Rule Extraction from Recurrent Neural Networks - DiVA portal
On the pragmatic side we find papers describing techniques for transforming state machines into RNNs (rule insertion) and/or for transforming RNNs into state ...
Neural rule extraction : more precision in learning - ResearchGate
1993. [6] J. Boulahia Smirani and F. Beji . “Extraction and. insertion ... improve the performance of systems or simple symbolic connectionist.
Improving Neural Network Performance by Embedding Expert ...
Peer-review under responsibility of the Conference Program Chairs. Keywords: neural network; self-organizing neural network; rule extraction; rule insertion; ...
Integrating rules and neural computation - IEEE Xplore
Not only can rule insertion improve net- work learning efficiency, it also ... During rule extraction, a non-zero weight to an F$ category node ...
A Simple Rule Induction Algorithm for Supporting Decision Making
RULES (RULe Extraction System) is a family of inductive learning ... pruning rules improve performance without affecting the quality of the learned rules.
A generic fuzzy aggregation operator: Rules extraction from and ...
... improve the learning performance and can be done by initializing parameters of ANNs. Rules extraction and insertion was demonstrated for multilayer ...
Rule Extraction from Recurrent Neural Networks: A Taxonomy and ...
Rule extraction (RE) from recurrent neural networks (RNNs) refers to finding models of the underlying RNN, typically in the form of finite state machines.
A Rule Extraction System with Class-Dependent Features
Data dimensionality reduction is desirable as a preprocessing procedure for rule extraction. We propose a rule extraction system for extracting rules based on ...
Different Neurophysiological Mechanisms Underlying Word ... - NCBI
In addition, the mechanisms for word and rule extraction seem to have a developmental progression. ... performance in rule-learning in the third ...
Stability Analysis of Various Symbolic Rule Extraction Methods from ...
For Dyck Languages, we observe that although GRU outperforms other RNNs in network performance, the DFA extracted by O2RNN has higher ...
[PDF] Extraction of rules from artificial neural networks for nonlinear ...
... rules extraction from ANN based on linear intelligent insertion ... rule-evaluation technique, which orders extracted rules based on three performance measures.
SRAF Rule Extraction and Insertion Based on Inverse Lithography ...
In order to improve the degree of RBSRAF accuracy, we extract the SRAF rules of test patterns from their ILT results. And then we use rule-based SRAF for ...
Research on Rules Extraction from Neural Network based on Linear ...
To enhance the explanation of ANN, a novel algorithm of regression rules extraction from ANN based on linear intelligent insertion is proposed in this paper.
A rule-based machine learning methodology for the proactive ...
Additional tool insertion, January 2020, Availability and Performance ... improve asset performance and energy efficiency”, Energies (Basel), Vol.
Automated Rule Selection for Aspect Extraction in Opinion Mining
rule set, only those rules that improve the performance of S should be ... method with the goal of improving the syntactical rule-based approach to aspect ...