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Fundamentals of neural networks

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The article was published on 1993-01-01 and is currently open access. It has received 1921 citations till now. The article focuses on the topics: Time delay neural network & Physical neural network.

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Decision support through knowledge management: the role of the artificial intelligence

TL;DR: This paper examines and discusses both the potential and the limitations of basic AI technologies in terms of their capability to support the KM process and shares thoughts and estimations on further research on the development of the next generation decision support environments.
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Accounting for dynamics in attribute-importance and for competitor performance to enhance reliability of BPNN-based importance-performance analysis

TL;DR: An extended BPNN-based IPA is proposed that uses a multidimensional operationalization of attribute-importance, and that considers competitive performance levels, and an empirical test reveals that the proposed approach significantly outperforms conventional BPNN -based IPA.
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Iris recognition using artificial neural networks

TL;DR: A simple methodology for pre- processing iris images and the design and training of a feedforward artificial neural network for iris recognition, which achieves high accuracy despite using simple data pre-processing and a simple neural network is presented.
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A Fingerprint Recognition Scheme Based on Assembling Invariant Moments for Cloud Computing Communications

TL;DR: A new fingerprint recognition scheme based on a set of assembled invariant moment (geometric moment and Zernike moment) features to ensure the secure communications is proposed and the experimental results show that the proposed method has a higher matching accuracy comparing with traditional or individual feature based methods on public databases.
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Artificial Neural Network Model of the Relationship Between Betula Pollen and Meteorological Factors in Szczecin (Poland)

TL;DR: Direct comparison of the observed and calculated values confirmed good performance of the model and its ability to recreate most of the variation and revealed that humidity had a strong negative correlation with Betula pollen concentrations.