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

ONSET

書目名稱Computational and Ambient Intelligence影響因子(影響力)




書目名稱Computational and Ambient Intelligence影響因子(影響力)學(xué)科排名




書目名稱Computational and Ambient Intelligence網(wǎng)絡(luò)公開度




書目名稱Computational and Ambient Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational and Ambient Intelligence被引頻次




書目名稱Computational and Ambient Intelligence被引頻次學(xué)科排名




書目名稱Computational and Ambient Intelligence年度引用




書目名稱Computational and Ambient Intelligence年度引用學(xué)科排名




書目名稱Computational and Ambient Intelligence讀者反饋




書目名稱Computational and Ambient Intelligence讀者反饋學(xué)科排名

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

起來了

起來了

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

dominant

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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外表讀作

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.