Titlebook: Computational and Ambient Intelligence; 9th International Wo Francisco Sandoval,Alberto Prieto,Manuel Graña Conference proceedings 2007 Spr

ONSET

书目名称Computational and Ambient Intelligence影响因子(影响力)




书目名称Computational and Ambient Intelligence影响因子(影响力)学科排名




书目名称Computational and Ambient Intelligence网络公开度




书目名称Computational and Ambient Intelligence网络公开度学科排名




书目名称Computational and Ambient Intelligence被引频次




书目名称Computational and Ambient Intelligence被引频次学科排名




书目名称Computational and Ambient Intelligence年度引用




书目名称Computational and Ambient Intelligence年度引用学科排名




书目名称Computational and Ambient Intelligence读者反馈




书目名称Computational and Ambient Intelligence读者反馈学科排名

transplantation

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A Comparative Study of PCA, ICA and Class-Conditional ICA for Naïve Bayes Classifiere preprocessing procedures, namely Principle Component Analysis (PCA), Independent Component Analysis (ICA) and class-conditional ICA, for Naïve Bayes classifier. It is found that all the three procedures keep improving the performance of the Naïve Bayes classifier with the increase of the number of

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Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Nxcitatory unit E and an inhibitory unit I is studied. The membrane potential of the neuron A is described by a jump diffusion model. Several types of interspike interval distributions of the excitatory strong inputs are considered as Poissonian inhibitory inputs increase intensity. It is shown that,

IRATE

起来了

起来了

Power Quality Event Identification Using Higher-Order Statistics and Neural Classifiersals. Their maxima and minima are the main features, and the classification strategy is based in competitive layers. Concretely, we concentrate on the task of differentiating two types of transients (short duration and long duration). By measuring the fourth-order central cumulants’ maxima and minima

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Bio-inspired Memory Generation by Recurrent Neural Networksntal investigations. A large body of evidence suggests that higher brain centres of insects are important for learning, short-term and long-term memory and play an important role for context generalisation. In this paper, we focus on artificial recurrent neural networks that model non-linear systems

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外表读作

A Study on the Use of Statistical Tests for Experimentation with Neural Networks study of the non-parametric tests use is presented, using some well-known models of neural networks. The results show the need of using non-parametric statistic, because the Artificial Neural Networks used do not verify the hypothesis required for classical parametric tests.