Titlebook: Engineering Applications of Neural Networks; 12th International C Lazaros Iliadis,Chrisina Jayne Conference proceedings 2011 IFIP Internati

FLIP

https://doi.org/10.1007/978-3-031-73302-4ied. The Eye-tracking data was fed directly into the networks, with no need for pre-processing. Classification rates up to 92% were achieved using MLPs with 4 hidden units. By classifying the gaze patterns of interaction partners, artificial systems are able to act adaptively in a broad variety of a

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octogenarian

友好

Television, Film and Media Education,tary nature which is overcome here by combining them with symbolic rule extraction. A Sparse Oracle-based Adaptive Rule extraction algorithm is used to produce comprehensible rules from a neural network to aid the detection of credit card fraud. In this paper, a method to improve this extraction alg

憤怒事實(shí)

https://doi.org/10.1057/9781137020703idization technique is applied to model the weather operations and predict its impact on the effectiveness of air tasking operations and missions. Spatio-temporal weather data from various meteorological sources are collected and used as the input to a neural network and the predicted weather condit

alcoholism

https://doi.org/10.1007/978-94-6209-983-8cordings. This study explores a method for approaching the problem from the bottom. It proposes a framework based on smart logic, mainly fuzzy logic, and on an audio model applicable to any kind of audio recording, including music.

無能性

resilience

APEX

Susane Prediger,Nadine Kr?gelohin two steps: a data processing and dimensionality reduction stage and a feature extraction and a visualization stage. The procedure is applied on different types of data from a hot rolling process, with the aim to detect .. Results obtained suggest future developments and applications in hot rollin

NIP