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» Interpretation of Trained Neural Networks by Rule Extraction
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WCE
2007
15 years 27 days ago
A Neural Network Approach to Objective Evaluation of Seam Pucker
—Seam pucker grade is one of the most important quality parameters in garments manufacturing industry. At present, seam pucker is usually evaluated by human inspectors, which is ...
K. L. Mak, Wei Li
ROMAN
2007
IEEE
134views Robotics» more  ROMAN 2007»
15 years 6 months ago
Development and Performance Evaluation of a Neural Signal-based Assistive Computer Interface
Abstract—This paper presents the development and performance evaluation of a human-computer interface that enables a limb-disabled person to access a computer via neural signals....
Changmok Choi, Hyonyoung Han, Chunwoo Kim, Jung Ki...
SOCO
2002
Springer
14 years 11 months ago
Granular neural web agents for stock prediction
A granular neural Web-based stock prediction agent is developed using the granular neural network (GNN) that can discover fuzzy rules. Stock data sets are downloaded from www.yahoo...
Yan-Qing Zhang, Somasheker Akkaladevi, George J. V...
IROS
2008
IEEE
141views Robotics» more  IROS 2008»
15 years 6 months ago
Active sensing based dynamical object feature extraction
— This paper presents a method to autonomously extract object features that describe their dynamics from active sensing experiences. The model is composed of a dynamics learning ...
Shun Nishide, Tetsuya Ogata, Ryunosuke Yokoya, Jun...
CIDM
2009
IEEE
15 years 6 months ago
Evolving decision trees using oracle guides
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
Ulf Johansson, Lars Niklasson