Titlebook: Learning, Networks and Statistics; Giacomo Riccia,Hans-Joachim Lenz,Rudolf Kruse Conference proceedings 1997 Springer-Verlag Wien 1997 alg

Ford

書目名稱Learning, Networks and Statistics影響因子(影響力)




書目名稱Learning, Networks and Statistics影響因子(影響力)學科排名




書目名稱Learning, Networks and Statistics網(wǎng)絡(luò)公開度




書目名稱Learning, Networks and Statistics網(wǎng)絡(luò)公開度學科排名




書目名稱Learning, Networks and Statistics被引頻次




書目名稱Learning, Networks and Statistics被引頻次學科排名




書目名稱Learning, Networks and Statistics年度引用




書目名稱Learning, Networks and Statistics年度引用學科排名




書目名稱Learning, Networks and Statistics讀者反饋




書目名稱Learning, Networks and Statistics讀者反饋學科排名

偽造

0254-1971 llustrated in problems dealing with neural nets, statistics and networks, classification and data mining, and (machine) learning.978-3-211-82910-3978-3-7091-2668-4Series ISSN 0254-1971 Series E-ISSN 2309-3706

勤勉

Overtraining in Single-Layer Perceptrons for a given situation depends on the number of features, data size and its configuration. In order to obtain a wider range of classifiers in non-linear SLP training, several new complexity control procedures are suggested.

lanugo

mechanical

A General Framework for Supporting Relational Concept Learningal disjunction; such a construct, first used by the AQ and Induce systems, is here made operational via a set of algorithms, capable to learn it, for both the discrete and the continuous-valued attributes case. These algorithms are embedded in learning systems using different paradigms, such as symbolic, genetic or connectionist ones.

煩憂

IRK

Fuzzy Shell Cluster Analysisn of the data set. Subsequently therefore we review the main ideas of unsupervised fuzzy shell cluster analysis. Finally we present an application of unsupervised fuzzy shell cluster analysis in computer vision.

plasma

動物

CHAR