Download Bio-Inspired Systems: Computational and Ambient by José L. Montaña, Cruz E. Borges (auth.), Joan Cabestany, PDF
By José L. Montaña, Cruz E. Borges (auth.), Joan Cabestany, Francisco Sandoval, Alberto Prieto, Juan M. Corchado (eds.)
This publication constitutes the refereed court cases of the tenth foreign Work-Conference on synthetic Neural Networks, IWANN 2009, held in Salamanca, Spain in June 2009.
The 167 revised complete papers awarded including three invited lectures have been rigorously reviewed and chosen from over 230 submissions. The papers are equipped in thematic sections on theoretical foundations and types; studying and edition; self-organizing networks, equipment and functions; fuzzy platforms; evolutionary computation and genetic algoritms; development attractiveness; formal languages in linguistics; brokers and multi-agent on clever structures; brain-computer interfaces (bci); multiobjetive optimization; robotics; bioinformatics; biomedical functions; ambient assisted dwelling (aal) and ambient intelligence (ai); different applications.
Read or Download Bio-Inspired Systems: Computational and Ambient Intelligence: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I PDF
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Additional info for Bio-Inspired Systems: Computational and Ambient Intelligence: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I
Richard Lackes, Chris B¨ orgermann, and Matthias Dirkmorfeld Invariant Features from the Trace Transform for Jawi Character Recognition . . . . . . . . . . . . . . . . . . . . . . . . . . . Mohammad Faidzul Nasrudin, Khairuddin Omar, Choong-Yeun Liong, and Mohamad Shanudin Zakaria An Ensemble Based Translator for Natural Languages . . . . . . . . on Casta˜ no Gustavo A. Casa˜ n and Ma . Asunci´ Veriﬁcation of the Eﬀectiveness of the Online Tuning System for Unknown Person in the Awaking Behavior Detection System .
Raul Malutan, Pedro G´ omez, and Monica Borda 988 31. Cluster Group Method of Documentary Collections Using Genetic Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . , Jos´e R. Fern´ andez del Castillo, and Le´ on Gonz´ alez Sotos 992 Partitional Clustering of Protein Sequences – An Inductive Logic Programming Approach . . . . . . . . . . . . . . . . . . . . . 1001 Nuno A. Fonseca, Vitor S. Costa, Rui Camacho, Cristina Vieira, and Jorge Vieira Segregating Conﬁdent Predictions of Chemicals’ Properties for Virtual Screening of Drugs .
1293 Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks Jos´e L. Monta˜ na and Cruz E. es Abstract. We propose a general method for estimating the distance between a compact subspace K of the space L1 ([0, 1]s ) of Lebesgue measurable functions deﬁned on the hypercube [0, 1]s , and the class of functions computed by artiﬁcial neural networks using a single hidden layer, each unit evaluating a sigmoidal activation function. Our lower bounds are stated in terms of an invariant that measures the oscillations of functions of the space K around the origin.