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Artificial Neural Networks in Pattern Recognition
This book constitutes the refereed proceedings of the 4th IAPR TC3 Workshop, ANNPR 2010, held in Cairo, Eqypt, in April 2010. The 23 revised full papers presented were carefully reviewed and selected from 42 submissions. The major topics of ANNPR are supervised and unsupervised learning, feature selection, pattern recognition in signal and image processing, and applications in data mining or bioinformatics.
Neural Nets
This book constitutes the thoroughly refereed postproceedings of the 14th Italian Workshop on Neural Networks, WIRN VIETRI 2003, held in Vietri sul Mare, Italy in June 2003. The 41 revised papers presented were carefully reviewed and improved during two rounds of selection and refereeing. The papers are organized in topical sections on models for neural computation; architectures and algorithms; image and signal processing; applications; bioinformatics and statistics; and formats of knowledge: words, images, and narratives.
ECAI 2010
LC copy bound in 2 v.: v. 1, p. 1-509; v. 2, p. [509]-1153.
Neural Nets WIRN VIETRI-98
From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains selected papers from WIRN Vietri-98, the 10th Italian Workshop on Neural Nets, 21-23 May 1998, Vietri sul Mare, Salerno, Italy. This annual event, sponsored amongst others by the IEEE Neural Network Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of key topics within neural networks, including pattern recognition, signal processing, hybrid systems, mathematical models, hardware and software design, and fuzzy techniques. It also includes two review talks on a Morpho-Functional Model to Describe Variability Found at Hippocampal Synapses and Neural Networks and Speech Processing. By providing the reader with a comprehensive overview of recent research in this area, the volume makes a valuable contribution to the Perspectives in Neural Computing Series.
Combining Artificial Neural Nets
The chapters in this volume consist of articles written by leading researchers in the field of Combining Artificial Neural Nets, and as such provide a unique coverage of the area. The techniques that are presented include ensemble-based, and modular approaches. The presentation of techniques is accompanied by analysis and evaluation of their relative effectiveness, and by reports of ther application to a variety of problems. The chapters make clear the effectiveness of combining in increasing performance, and the limitations of using a simple unitary net. For this reason this volume should be required reading for all those concerned with any applications of artificial neural nets where good generalisation performance is important.
IJCNN'99
IJCNN '99 spans the neural network field from neurons to consciousness, training algorithms to robotics, chaos to control, fuzzy logic to evolutionary computing. Starting with a symposium on biological neural networks, it explores the potential impact of neurobiological discoveries.
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