全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Badar Islam , Zuhairi Baharudin , Perumal Nallagownden
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.877-891Springer
摘要:In this paper, a modified backpropagation neural network is combined with a chaos-search genetic algorithm and simulated annealing algorithm for very short term electrical energy demand prediction in deregulated power industry. Multiple modifications are carried out on the conven...
作者:Harris Papadopoulos , Efthyvoulos Kyriacou , Andrew Nicolaides
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (6), pp.1209-1223Springer
摘要:We propose an approach for providing well-calibrated confidence measures for determining cerebrovascular risk stratification based on characteristics from noninvasive ultrasound imaging of carotid plaques. An important challenge we address is the class imbalance problem inherent ...
作者:Mahnaz Ranjbar , Mahmood Amiri
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (5), pp.1109-1121Springer
摘要:In the present study, we develop an analog neuromorphic circuit to implement the astrocyte dynamics. The intracellular calcium waves produced by astrocytes are modeled by a simplified dynamical model which considers the main pathways of neuron–astrocyte interactions. Then, a...
作者:Mohammed Anbar , Rosni Abdullah , Alhamza Munther ...
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.525-538Springer
摘要:A computer worm is a self-replicating malicious code that does not alter files but resides in active memory where it duplicates itself. Worms use parts of the operating system that are automatic and usually invisible to the user. Worms commonly exhibit abnormal behaviors, which b...
作者:Yusuf Erzin , Nurhan Ecemis
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.727-736Springer
摘要:In this study, an artificial neural network (ANN) model was developed to predict the cone penetration resistance of silty sands. To achieve this, the data sets reported by Ecemis and Karaman, including the results of three high-quality field tests, namely piezocone penetration te...
作者:Ping Yi , Aiguo Song , Jianhui Guo ...
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.683-697Springer
摘要:In the past years, non-parallel plane classifiers that seek projection direction instead of hyperplane for each class have attracted much attention, such as the multi-weight vector projection support vector machine (MVSVM) and the projection twin support vector machine (PTSVM). I...
作者:Iftikhar Ahmad , Muhammad Asif Zahoor Raja , Muhammad Bilal ...
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (1), pp.929-944Springer
摘要:In the present study, stochastic numerical computing approach is developed by applying artificial neural networks (ANNs) to compute the solution of Lane–Emden type boundary value problems arising in thermodynamic studies of the spherical gas cloud model. ANNs are used in an ...
作者:Yiannis Kokkinos , Konstantinos G. Margaritis
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (6), pp.1309-1328Springer
摘要:Local learning algorithms use a neighborhood of training data close to a given testing query point in order to learn the local parameters and create on-the-fly a local model specifically designed for this query point. The local approach delivers breakthrough performance in many a...
作者:Shifei Ding , Zhibin Zhu , Xiekai Zhang
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (5), pp.969-978Springer
摘要:Support vector machine (SVM) is a machine learning method based on statistical learning theory. It has a lot of advantages, such as solid theoretical foundation, global optimization, the sparsity of the solution, nonlinear and generalization. The standard form of SVM only applies...

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