Neural Computing and Applications
Volume 1 / 1993 - Volume 28 / 2017
Page
%P
34,221 Result(s)
-
Article
Supervised multiview learning based on simultaneous learning of multiview intact and single view classifier
Multiview learning problem refers to the problem of learning a classifier from multiple view data. In this data set, each data point is presented by multiple different views. In this paper, we propose a novel ...
-
Article
Particle swarm optimization trained neural network for structural failure prediction of multistoried RC buildings
Faulty structural design may cause multistory reinforced concrete (RC) buildings to collapse suddenly. All attempts are directed to avoid structural failure as it leads to human life danger as well as wastin...
-
Article
Optimization of iron ore sintering process based on ELM model and multi-criteria evaluation
Optimization of iron ore sintering process is to maximize the productivity and the sinter ore quality while minimizing the energy consumption. However, these economic and technical criteria are sometimes contr...
-
Article
Interpolation neural network model of a manufactured wind turbine
In this paper, an interpolation neural network is introduced for the learning of a wind turbine behavior with incomplete data. The proposed hybrid method is the combination of an interpolation algorithm and a...
-
Article
Blood type classification using computer vision and machine learning
In emergency situations, where time for blood transfusion is reduced, the O negative blood type (the universal donor) is administrated. However, sometimes even the universal donor can cause transfusion reactio...
-
Article
A survey of biogeography-based optimization
Optimization is a classical issue and in many areas that are bound up with people’s daily life. In current decades, with the development of human civilization and industry society, many complicated optimizatio...
-
Article
Anisotropic masonry failure criterion using artificial neural networks
In the last decades, a plethora of advanced computational models and techniques have been proposed on the modeling, assessment and design of masonry structures. The successful application of such sophisticated...
-
Article
Multi-kernel learning for multivariate performance measures optimization
In this paper, we investigate the problem of optimizing complex multivariate performance measures to learn classifiers for pattern classification problems. For the first time, the multi-kernel learning is cons...
-
Article
Capability to predict the steady and unsteady reduced aerodynamic forces on a square cylinder by ANN and GEP
The reduction in the drag and lift forces on a square cylinder is obtained by attaching an extended solid (thorn) with it positioned at the front stagnation point and at the rear stagnation point separately at...
-
Article
Characterizing the structure of large real networks to improve community detection
Community structure is a fundamental feature for many networks. The problem of discovering communities in those networks thus has been attracting a lot of research. However, due to the rapid increase of networ...
-
Article
Extreme learning machine with kernel model based on deep learning
Extreme learning machine (ELM) proposed by Huang et al. is a learning algorithm for single-hidden layer feedforward neural networks (SLFNs). ELM has the advantage of fast learning speed and high efficiency, s...
-
Article
Network traffic prediction based on RBF neural network optimized by improved gravitation search algorithm
In order to improve the setting method of the parameter and network structure of neural network, this paper takes neural networks and chaotic time series theory as the foundation to propose a prediction model ...
-
Journal
-
Article
Using neural networks coupled with particle swarm optimization technique for mathematical modeling of air gap membrane distillation (AGMD) systems for desalination process
Nowadays, membrane distillation (MD) systems have found considerable attention in separation processes, especially for desalination applications. Among different MD systems, air gap membrane distillation (AGMD...
-
Article
Solution of non-convex economic load dispatch problem for small-scale power systems using ant lion optimizer
Ant lion optimizer (ALO) is a newly developed population-based search algorithm inspired by hunting mechanism of antlions and based on five steps of hunting the ants, i.e., the random walk of ants, building t...
-
Article
Erratum to: Characterizing the structure of large real networks to improve community detection
-
Journal
EURASIP Journal on Bioinformatics and Systems Biology
Volume 2006 / 2006 - Volume 2017 / 2016
-
Open Access This content is freely available online to anyone, anywhere at any time.
Article
Bayesian inference for biomarker discovery in proteomics: an analytic solution
This paper addresses the question of biomarker discovery in proteomics. Given clinical data regarding a list of proteins for a set of individuals, the tackled problem is to extract a short subset of proteins t...
-
Journal
Neuroinformatics
Volume 1 / 2003 - Volume 15 / 2017
-
Article
Automated 3-D Detection of Dendritic Spines from In Vivo Two-Photon Image Stacks
Despite the significant advances in the development of automated image analysis algorithms for the detection and extraction of neuronal structures, current software tools still have numerous limitations when i...
