ICIS '00 Proceedings of the twenty first international conference on Information systems
Symbolic Interpretation of Artificial Neural Networks
IEEE Transactions on Knowledge and Data Engineering
Extracting regression rules from neural networks
Neural Networks
Book review: Three perspectives of data mining
Artificial Intelligence
Rough-Fuzzy MLP: Modular Evolution, Rule Generation, and Evaluation
IEEE Transactions on Knowledge and Data Engineering
Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Observational Logic Integrates Data Mining Based on Statistics and Neural Networks
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Rule Extraction from Radial Basis Function Networks by Using Support Vectors
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Rule Extraction from Self-Organizing Networks
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Knowledge Incorporation and Rule Extraction in Neural Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Extraction of Logical Rules from Data by Means of Piecewise-Linear Neural Networks
DS '02 Proceedings of the 5th International Conference on Discovery Science
Extracting Interpretable Fuzzy Rules from RBF Networks
Neural Processing Letters
Rule extraction: using neural networks or for neural networks?
Journal of Computer Science and Technology
Rule Extraction from Recurrent Neural Networks: A Taxonomy and Review
Neural Computation
Feedforward Neural Network Construction Using Cross Validation
Neural Computation
Neural network explanation using inversion
Neural Networks
The Crystallizing Substochastic Sequential Machine Extractor: CrySSMEx
Neural Computation
International Journal of Approximate Reasoning
Extraction of fuzzy rules from support vector machines
Fuzzy Sets and Systems
Prediction of MHC II-binding peptides using rough set-based rule sets ensemble
Applied Intelligence
Dynamic data mining technique for rules extraction in a process of battery charging
Applied Soft Computing
A cooperative multi-agent system simulation model for urban traffic intelligent control
Proceedings of the 2007 Summer Computer Simulation Conference
Knowledge discovery in corporate events by neural network rule extraction
Applied Intelligence
Extracting symbolic knowledge from recurrent neural networks---A fuzzy logic approach
Fuzzy Sets and Systems
Measures of Ruleset Quality Capable to Represent Uncertain Validity
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Information Sciences: an International Journal
Measures of ruleset quality for general rules extraction methods
International Journal of Approximate Reasoning
A fuzzy neural network with fuzzy impact grades
Neurocomputing
Improving Training in the Vicinity of Temporary Minima
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Mortality assessment in intensive care units via adverse events using artificial neural networks
Artificial Intelligence in Medicine
Knowledge-internalization process for neural-networks practitioners
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Improving rule extraction from neural networks by modifying hidden layer representations
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques
Expert Systems with Applications: An International Journal
Transmembrane segments prediction and understanding using support vector machine and decision tree
Expert Systems with Applications: An International Journal
On the Importance of Comprehensible Classification Models for Protein Function Prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
Numerosity and the consolidation of episodic memory
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
A neural approach to extended logic programs
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Knowledge based descriptive neural networks
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning
IEEE Transactions on Neural Networks
Analysis of artificial neural network learning near temporary minima: A fuzzy logic approach
Fuzzy Sets and Systems
WSEAS Transactions on Systems and Control
Online self-reorganizing neuro-fuzzy reasoning in interval-forecasting for financial time-series
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Comparing fine-grained source code changes and code churn for bug prediction
Proceedings of the 8th Working Conference on Mining Software Repositories
International Journal of Artificial Intelligence and Soft Computing
Designing a decompositional rule extraction algorithm for neural networks
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Associating neural networks with partially known relationships for nonlinear regressions
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
A health social network recommender system
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
Reverse Engineering the Neural Networks for Rule Extraction in Classification Problems
Neural Processing Letters
Computer Methods and Programs in Biomedicine
Using sensitivity analysis and visualization techniques to open black box data mining models
Information Sciences: an International Journal
Fuzzy-Rule Based Adaptive Data Warehouse: An Extension of Data Warehouse as Knowledge Warehouse
International Journal of Applied Evolutionary Computation
An Abductive-Reasoning Guide for Finance Practitioners
Computational Economics
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To date, the preponderance of techniques for eliciting the knowledge embedded in trained artificial neural networks (ANN's) has focused primarily on extracting rule-based explanations from feedforward ANN's. The ADT taxonomy for categorizing such techniques was proposed in 1995 to provide a basis for the systematic comparison of the different approaches. This paper shows that not only is this taxonomy applicable to a cross section of current techniques for extracting rules from trained feedforward ANN's but also how the taxonomy can be adapted and extended to embrace a broader range of ANN types (e,g., recurrent neural networks) and explanation structures. In addition we identify some of the key research questions in extracting the knowledge embedded within ANN's including the need for the formulation of a consistent theoretical basis for what has been, until recently, a disparate collection of empirical results