Title
Knowledge-internalization process for neural-networks practitioners
Abstract
This study explores the knowledge-internalization process within which a neural-network practitioner embody the explicit knowledge obtained from extracting network's preimage, the set of input values for a given output value, into his/her tacit knowledge. With a number of well-trained single-hidden layer feed-forward neural networks, the practitioner first extracts the (nonlinear) preimage of each trained network. The practitioner then internalizes the explicit outcomes and the insights obtained from the preimage extracting process into his/her tacit knowledge bases. We use the experiment of bond-pricing analysis to illustrate the knowledge-internalization process. This study adds to the literature by introducing the knowledge-internalization process. Moreover, in contrast to the data analyses in previous studies, this study uses mathematical analyses to identify networks' preimages.
Year
DOI
Venue
2009
10.1109/IJCNN.2009.5178611
IJCNN
Keywords
Field
DocType
tacit knowledge bases,network preimage extraction,neural network,tacit knowledge base,knowledge based systems,previous study,neural-networks practitioners,neural-network practitioner,tacit knowledge,mathematical analysis,trained network,nonlinear preimage,knowledge-internalization process,data analyses,feedforward neural nets,single-hidden layer feed-forward neural networks,bond-pricing analysis,mathematical analyses,explicit outcome,network preimage identification,explicit knowledge,neural-networks practitioner,pricing,knowledge engineering,bond pricing,artificial neural networks,neural networks,feedforward neural networks,data analysis,economic indicators,feed forward neural network,data mining
Explicit knowledge,Computer science,Knowledge-based systems,Knowledge engineering,Artificial intelligence,Image (mathematics),Artificial neural network,Tacit knowledge,Machine learning
Conference
ISSN
ISBN
Citations 
1098-7576 E-ISBN : 978-1-4244-3553-1
978-1-4244-3553-1
0
PageRank 
References 
Authors
0.34
11
2
Name
Order
Citations
PageRank
Rua-Huan Tsaih1286.97
Hsiou-Wei Lin270.82