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Titlebook: Advances in Neural Networks; 5th International Sy Fuchun Sun,Jianwei Zhang,Wen Yu Conference proceedings 2008 Springer-Verlag Berlin Heidel

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A Dual-Mode Learning Mechanism Combining Knowledge-Education and Machine-Learninguddenly added or removed from the well. However one limitation of conducting slug tests in this manner is that if the tests are being conducted for environmental monitoring purposes it is not advisable to inject or take out a certain volume of water in the well as it may disturb the ambient water qu
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The Effect of Task Relevance on Electrophysiological Response to Emotional Stimulid pumped away. Open pumping from sumps and ditches is usually the least expensive method from the standpoint of direct dewatering cost. Under favorable conditions, it is a satisfactory procedure. But if conditions are not conducive, attempts to handle the water by open pumping can result in delays,
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A Detailed Study on the Modulation of Emotion Processing by Spatial Location consumers. There is a variety of anthropogenic causes of contamination, spanning from discharge of wastewater to the ground, to industrial or mining activities, from accidental spills to agricultural activities. The wide range of sources of contamination is reflected on the extremely broad and dive
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Improved Global Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delaysough there are many origins of model prediction uncertainty, model misspecification represents a significant one. Two types of model misspecification have been addressed. First is inadequate description of spatial variability of hydraulic conductivities. The latest approach has been to develop robus
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149145.jpg
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https://doi.org/10.1007/978-981-4585-84-2nd analyzing the brain responses to emotional stimuli. ERPs were recorded from 64 electrodes in 10 healthy university students while three types of emotional pictures (pleasant, neural, and unpleasant) from the international affective picture system were presented. All the subjects showed significan
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Second Language Learning and Teachingosed on the PARAFAC/Tucker model. In this paper, to identify speaker from a noisy environment, we propose a new method based on PARAFAC model called constrained Nonnegative Tensor Factorization (cNTF). Speech signal is encoded as a general higher order tensor in order to learn the basis functions fr
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https://doi.org/10.1007/978-3-319-59333-3 areas, minicolumns divide a component into sub-components and parallel process them. Thus a minicolumn is a functional unit. Its layer IV neurons form a network where cell assemblies for sub-components form. Then layer III neurons are triggered and feed back to layer IV. Considering the delay, thro
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