AIMC Topic: Computer Simulation
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Command Filter-Based Adaptive Neural Tracking Controller Design for Uncertain Switched Nonlinear Output-Constrained Systems.
IEEE transactions on cybernetics
Jan 12, 2017
In this paper, a new adaptive approximation-based tracking controller design approach is developed for a class of uncertain nonlinear switched lower-triangular systems with an output constraint using neural networks (NNs). By introducing a novel barr...
Statistical learning of parts and wholes: A neural network approach.
Journal of experimental psychology. General
Jan 12, 2017
Statistical learning is often considered to be a means of discovering the units of perception, such as words and objects, and representing them as explicit "chunks." However, entities are not undifferentiated wholes but often contain parts that contr...
Computational intelligence models to predict porosity of tablets using minimum features.
Drug design, development and therapy
Jan 12, 2017
The effects of different formulations and manufacturing process conditions on the physical properties of a solid dosage form are of importance to the pharmaceutical industry. It is vital to have in-depth understanding of the material properties and g...
PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 10, 2017
Self interacting proteins (SIPs) play an important role in various aspects of the structural and functional organization of the cell. Detecting SIPs is one of the most important issues in current molecular biology. Although a large number of SIPs dat...
The neural representation of the gender of faces in the primate visual system: A computer modeling study.
Psychological review
Jan 9, 2017
We use an established neural network model of the primate visual system to show how neurons might learn to encode the gender of faces. The model consists of a hierarchy of 4 competitive neuronal layers with associatively modifiable feedforward synapt...
In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning.
Journal of chemical information and modeling
Jan 9, 2017
There are little available toxicity data on the vast majority of chemicals in commerce. High-throughput screening (HTS) studies, such as those being carried out by the U.S. Environmental Protection Agency (EPA) ToxCast program in partnership with the...
Nano Random Forests to mine protein complexes and their relationships in quantitative proteomics data.
Molecular biology of the cell
Jan 5, 2017
Ever-increasing numbers of quantitative proteomics data sets constitute an underexploited resource for investigating protein function. Multiprotein complexes often follow consistent trends in these experiments, which could provide insights about thei...
Distinguishing between expert and statistical systems for application under ICH M7.
Regulatory toxicology and pharmacology : RTP
Jan 3, 2017
Computer Simulation
Reproducibility of Results
Animals
Humans
Patient Safety
Molecular Structure
Expert Systems
Mutagens
Quantitative Structure-Activity Relationship
Risk Assessment
Models, Statistical
Data Interpretation, Statistical
Drug and Narcotic Control
Drug Contamination
Mutagenicity Tests
Policy Making
Evolution of Collective Behaviour in an Artificial World Using Linguistic Fuzzy Rule-Based Systems.
PloS one
Jan 3, 2017
Collective behaviour is a fascinating and easily observable phenomenon, attractive to a wide range of researchers. In biology, computational models have been extensively used to investigate various properties of collective behaviour, such as: transfe...
Dendritic trafficking faces physiologically critical speed-precision tradeoffs.
eLife
Dec 30, 2016
Nervous system function requires intracellular transport of channels, receptors, mRNAs, and other cargo throughout complex neuronal morphologies. Local signals such as synaptic input can regulate cargo trafficking, motivating the leading conceptual m...
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