AIMC Topic:
Models, Theoretical

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Multistability of complex-valued neural networks with discontinuous activation functions.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2016
In this paper, based on the geometrical properties of the discontinuous activation functions and the Brouwer's fixed point theory, the multistability issue is tackled for the complex-valued neural networks with discontinuous activation functions and ...
Neural Networks, Computer Models, Theoretical Algorithms Time Factors
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Evaluating the predictability of PM grades in Seoul, Korea using a neural network model based on synoptic patterns.

Environmental pollution (Barking, Essex : 1987) Sep 6, 2016
As of November 2014, the Korean Ministry of Environment (KME) has been forecasting the concentration of particulate matter with diameters ≤ 10 μm (PM) classified into four grades: low (PM ≤ 30 μg m), moderate (30 < PM ≤ 80 μg m), high (80 < PM ≤ 150 ...
Models, Theoretical Environmental Monitoring Particle Size Neural Networks, Computer Wind Republic of Korea China Seasons Temperature Meteorology Forecasting Seoul Air Pollutants Particulate Matter
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Risk analysis of lung cancer and effects of stress level on cancer risk through neuro-fuzzy model.

Computer methods and programs in biomedicine Sep 5, 2016
A significant number of people pass away due to limited medical resources for the battle with cancer. Fatal cases can be reduced by using the computational techniques in the medical and health system. If the cancer is diagnosed early, the chance of s...
Models, Theoretical Stress, Psychological Early Diagnosis Humans Lung Neoplasms Fuzzy Logic Risk Factors
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Adaptive PID control based on orthogonal endocrine neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 5, 2016
A new intelligent hybrid structure used for online tuning of a PID controller is proposed in this paper. The structure is based on two adaptive neural networks, both with built-in Chebyshev orthogonal polynomials. First substructure network is a regu...
Neural Networks, Computer Algorithms Endocrine System Signal Processing, Computer-Assisted Computer Simulation Environment Models, Theoretical
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Attack Vulnerability of Network Controllability.

PloS one Sep 2, 2016
Controllability of complex networks has attracted much attention, and understanding the robustness of network controllability against potential attacks and failures is of practical significance. In this paper, we systematically investigate the attack...
Computer Simulation Neural Networks, Computer Models, Theoretical Algorithms
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PLS-LS-SVM based modeling of ATR-IR as a robust method in detection and qualification of alprazolam.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 31, 2016
According to the United States pharmacopeia (USP), Gold standard technique for Alprazolam determination in dosage forms is HPLC, an expensive and time-consuming method that is not easy to approach. In this study chemometrics assisted ATR-IR was intro...
Spectrophotometry, Infrared Chromatography, High Pressure Liquid Alprazolam Reproducibility of Results Models, Theoretical Least-Squares Analysis Support Vector Machine Tablets
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Rule extraction from an optimized neural network for traffic crash frequency modeling.

Accident; analysis and prevention Aug 31, 2016
This study develops a neural network (NN) model to explore the nonlinear relationship between crash frequency and risk factors. To eliminate the possibility of over-fitting and to deal with the black-box characteristic, a network structure optimizati...
Hong Kong Accidents, Traffic Safety Neural Networks, Computer Algorithms Models, Theoretical Models, Statistical Risk Factors Humans
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H state estimation for memristive neural networks with time-varying delays: The discrete-time case.

Neural networks : the official journal of the International Neural Network Society Aug 30, 2016
This paper investigates the H state estimation problem for a class of discrete-time memristive neural networks (DMNNs) with time-varying delays. For the sake of coping with the switched weight matrices, the DMNNs are recast into a tractable model by ...
Neural Networks, Computer Models, Theoretical Computer Simulation Algorithms Time Factors
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Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning.

Neural networks : the official journal of the International Neural Network Society Aug 30, 2016
Most of machine learning approaches have stemmed from the application of minimizing the mean squared distance principle, based on the computationally efficient quadratic optimization methods. However, when faced with high-dimensional and noisy data, ...
Models, Theoretical Databases, Factual Time Factors Machine Learning Algorithms
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Modeling and simulation of xylitol production in bioreactor by Debaryomyces nepalensis NCYC 3413 using unstructured and artificial neural network models.

Bioresource technology Aug 27, 2016
This study examines the use of unstructured kinetic model and artificial neural networks as predictive tools for xylitol production by Debaryomyces nepalensis NCYC 3413 in bioreactor. An unstructured kinetic model was proposed in order to assess the ...
Computer Simulation Temperature Bioreactors Kinetics Models, Theoretical Saccharomycetales Neural Networks, Computer Xylitol Hydrogen-Ion Concentration Batch Cell Culture Techniques
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