Artificial Neural Networks for Data Mining and Feature Extraction
Document Type
Book Contribution
Publication Date
1-1-2007
Description
Artificial Neural Networks are models of interacting neurons that can be used as classifiers with large data sets. They can also be used for feature extraction and for reducing the dimensionality of large data sets. Den-Dritic electrotonic models can be used to suggest more robust artificial neural network models that are amenable to data mining and feature extraction.
Citation Information
Knisley, Jeff; Glenn, L. Lee; Joplin, Karl; and Carey, Patricia. 2007. Artificial Neural Networks for Data Mining and Feature Extraction. Quantitative Medical Data Analysis Using Math Tools and Statistical Techniques. World Scientific Publishers. 321-332. https://doi.org/10.1142/9789812772121_0015 ISBN: 978812704610