Neural networks for pattern recognition Albert Nigrin : M.I.T. Press, Fitzroy House, 11, Chenies Street, London WC1E 7ET, ISBN 0-262-14054-3, Cost 40.50 Pounds Sterlingdoi:10.1016/0377-0427(94)90370-0NoneJournal of Computational and Applied Mathematics
In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern recognition, and make use of feed-forward network architectures such as the multi-layer perceptron and the ...
This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions, and discusses the properties and...
英文原版 Neural Networks for Pattern Recognition 作者:C.M.Bishop,GeoffreyHinton,GeoffreyE. H出版社:Clarendon Press出版时间:1988年08月 手机专享价 ¥ 当当价降价通知 ¥836.00 配送至 北京 至北京市东城区 服务 由“中国进口图书旗舰店”发货,并提供售后服务。
Features neural network architectures on the cutting edge of neural network research Brings together highly innovative ideas on dynamical neural networks Includes articles written by authors prominent in the neural networks research community Provides an authoritative, technically correct presentation of each ...
[15] K Fukushima. Neocognitron : a self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biological Cybernetics, 36(4):193-202, 1980. [16] Masoud Ghodrati, Amirhossein Farzmahdi, Karim Rajaei, Reza Ebrahimpour, and SeyedMahdi Khaligh...
提出的几个pretrained audio neural networks(PANN)超过了以前最先进的音频集标签系统,包括CNN14达到了0.431的mAP,ResNet38达到了0.434的mAP,超过了谷歌的基线0.314。MobileNetV1实现了0.389的MAP。改进的iD系统Res1dNet31的mAP为0.365,优于以前的1dCNNs。提出的Wavegram-Logmel-CNN系统在所有pann中达到了0.439的最高...
Human beings are subjective experts in both discernment and imposition of patterns in nature; pattern recognition by machines commonly excludes gestalt theory, although figure/ground phenomena and other aspects of sensory perception are common to both. An artificial neural network is "a massively ...
In all pattern recognition technologies, a crucial question is what features to extract and use for the basis of a recognition system. There are well-established techniques for ranking features to be used in linear combination, but when non-linear combination technologies, such as neural networks,...
FIG. 4 illustrates a block diagram of a preferred embodiment of a neural network for pattern recognition in accordance with the invention. FIG. 5 illustrates in more detail an exemplary neural network for decomposing an acoustical signal in terms of its energy, space and time components and for...