AIMC Topic: Algorithms

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Development of a Prediction Model Based on RBF Neural Network for Sheet Metal Fixture Locating Layout Design and Optimization.

Computational intelligence and neuroscience Apr 4, 2016
Fixture plays an important part in constraining excessive sheet metal part deformation at machining, assembly, and measuring stages during the whole manufacturing process. However, it is still a difficult and nontrivial task to design and optimize sh...
Materials Testing Neural Networks, Computer Finite Element Analysis Algorithms Metals Models, Theoretical
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An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks.

PloS one Apr 4, 2016
The spiking neural networks (SNNs) are the third generation of neural networks and perform remarkably well in cognitive tasks such as pattern recognition. The spike emitting and information processing mechanisms found in biological cognitive systems ...
Humans Machine Learning Cognition Models, Neurological Algorithms Animals Nerve Net
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The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM.

Computational and mathematical methods in medicine Apr 3, 2016
Using the theory of machine learning to assist the virtual screening (VS) has been an effective plan. However, the quality of the training set may reduce because of mixing with the wrong docking poses and it will affect the screening efficiencies. To...
Protein Conformation Chemistry, Pharmaceutical Imaging, Three-Dimensional Area Under Curve Hydrogen Ligands Protein Binding Reproducibility of Results Cathepsin K Humans Crystallization Proteins Computational Biology Drug Design Binding Sites Software Databases, Protein ROC Curve Combinatorial Chemistry Techniques Algorithms Support Vector Machine Models, Statistical
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Assessing and comparison of different machine learning methods in parent-offspring trios for genotype imputation.

Journal of theoretical biology Apr 2, 2016
Genotype imputation is an important tool for prediction of unknown genotypes for both unrelated individuals and parent-offspring trios. Several imputation methods are available and can either employ universal machine learning methods, or deploy algor...
Humans Female Male Polymorphism, Single Nucleotide Genotype Machine Learning Algorithms Computer Simulation Genotyping Techniques Parents Databases, Genetic Gene Frequency
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Evolving Spiking Neural Networks for Recognition of Aged Voices.

Journal of voice : official journal of the Voice Foundation Apr 1, 2016
The aging of the voice, known as presbyphonia, is a natural process that can cause great change in vocal quality of the individual. This is a relevant problem to those people who use their voices professionally, and its early identification can help ...
Speech Production Measurement Pattern Recognition, Physiological Voice Quality Acoustics Sound Spectrography Speech Acoustics Adult Male Aging Age Factors Signal Processing, Computer-Assisted Middle Aged Adolescent Humans Aged Neural Networks, Computer Aged, 80 and over Algorithms Young Adult Female
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Identifying children with autism spectrum disorder based on their face processing abnormality: A machine learning framework.

Autism research : official journal of the International Society for Autism Research Apr 1, 2016
The atypical face scanning patterns in individuals with Autism Spectrum Disorder (ASD) has been repeatedly discovered by previous research. The present study examined whether their face scanning patterns could be potentially useful to identify childr...
Female Reproducibility of Results Sensitivity and Specificity Male Humans Machine Learning Algorithms Autism Spectrum Disorder Child Visual Perception China Face Recognition, Psychology Eye Movements Child, Preschool
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Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2016
Training feedforward neural networks (FNNs) is one of the most critical issues in FNNs studies. However, most FNNs training methods cannot be directly applied for very large datasets because they have high computational and space complexity. In order...
Neural Networks, Computer Random Allocation Machine Learning Algorithms
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PDF text classification to leverage information extraction from publication reports.

Journal of biomedical informatics Apr 1, 2016
OBJECTIVES: Data extraction from original study reports is a time-consuming, error-prone process in systematic review development. Information extraction (IE) systems have the potential to assist humans in the extraction task, however majority of IE ...
Algorithms Narration Natural Language Processing Humans Review Literature as Topic Information Storage and Retrieval Machine Learning Publications
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Engineering neural systems for high-level problem solving.

Neural networks : the official journal of the International Neural Network Society Mar 31, 2016
There is a long-standing, sometimes contentious debate in AI concerning the relative merits of a symbolic, top-down approach vs. a neural, bottom-up approach to engineering intelligent machine behaviors. While neurocomputational methods excel at lowe...
Photic Stimulation Engineering Artificial Intelligence Humans Attention Algorithms Neural Networks, Computer Problem Solving
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A Dynamic Health Assessment Approach for Shearer Based on Artificial Immune Algorithm.

Computational intelligence and neuroscience Mar 31, 2016
In order to accurately identify the dynamic health of shearer, reducing operating trouble and production accident of shearer and improving coal production efficiency further, a dynamic health assessment approach for shearer based on artificial immune...
Coal Mining Algorithms Risk Assessment Support Vector Machine Humans
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