AIMC Topic:
Models, Theoretical

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Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Transit data analysis and artificial neural networks (ANNs) have proven to be a useful tool for characterizing and modelling non-linear hydrological processes. In this paper, these methods have been used to characterize and to predict the discharge o...
Spain Hydrology Models, Theoretical Water Pollutants, Chemical Rivers Neural Networks, Computer
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ChIP-PIT: Enhancing the Analysis of ChIP-Seq Data Using Convex-Relaxed Pair-Wise Interaction Tensor Decomposition.

IEEE/ACM transactions on computational biology and bioinformatics Jan 1, 2016
In recent years, thanks to the efforts of individual scientists and research consortiums, a huge amount of chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) experimental data have been accumulated. Instead of investigati...
Humans Computational Biology Models, Theoretical Transcription Factors Databases, Genetic Machine Learning Algorithms Reproducibility of Results Cell Line Oligonucleotide Array Sequence Analysis Chromatin Immunoprecipitation
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Application of a soft computing technique in predicting the percentage of shear force carried by walls in a rectangular channel with non-homogeneous roughness.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
Two new soft computing models, namely genetic programming (GP) and genetic artificial algorithm (GAA) neural network (a combination of modified genetic algorithm and artificial neural network methods) were developed in order to predict the percentage...
Drainage, Sanitary Neural Networks, Computer Algorithms Models, Theoretical
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Machine learning models in breast cancer survival prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2016
BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate among women. With the early diagnosis of breast cancer survival will increase from 56% to more than 86%. Therefore, an accurate and reliable system is necessary fo...
Survival Rate Sensitivity and Specificity Humans Breast Neoplasms Adolescent Machine Learning Aged, 80 and over Female Models, Theoretical Young Adult Early Detection of Cancer Male Predictive Value of Tests Reproducibility of Results Adult Middle Aged Diagnosis, Computer-Assisted Aged
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[Application of near infrared spectroscopy combined with particle swarm optimization based least square support vactor machine to rapid quantitative analysis of Corni Fructus].

Yao xue xue bao = Acta pharmaceutica Sinica Dec 1, 2015
A novel method was developed for the rapid determination of multi-indicators in corni fructus by means of near infrared (NIR) spectroscopy. Particle swarm optimization (PSO) based least squares support vector machine was investigated to increase the ...
Least-Squares Analysis Fruit Quality Control Calibration Cornus Models, Theoretical Support Vector Machine Drugs, Chinese Herbal Neural Networks, Computer Algorithms Spectroscopy, Near-Infrared
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Fully parallel write/read in resistive synaptic array for accelerating on-chip learning.

Nanotechnology Nov 13, 2015
A neuro-inspired computing paradigm beyond the von Neumann architecture is emerging and it generally takes advantage of massive parallelism and is aimed at complex tasks that involve intelligence and learning. The cross-point array architecture with ...
Models, Theoretical Unsupervised Machine Learning Semiconductors Neural Networks, Computer Learning Pattern Recognition, Automated Synapses Computing Methodologies Electric Impedance
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[Rapid Identification of Epicarpium Citri Grandis via Infrared Spectroscopy and Fluorescence Spectrum Imaging Technology Combined with Neural Network].

Guang pu xue yu guang pu fen xi = Guang pu Oct 1, 2015
To explore rapid reliable methods for detection of Epicarpium citri grandis (ECG), the experiment using Fourier Transform Attenuated Total Reflection Infrared Spectroscopy (FTIR/ATR) and Fluorescence Spectrum Imaging Technology combined with Multilay...
Neural Networks, Computer Fluorescence Discriminant Analysis Models, Theoretical Optical Imaging Spectroscopy, Fourier Transform Infrared Principal Component Analysis
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[The Influence of Different Ionic Concentration in Cell Physiological Solution on Temperature Measurement by Near Infrared].

Guang pu xue yu guang pu fen xi = Guang pu Oct 1, 2015
It is important to real-timely monitor and control the temperature of cell physiological solution in patch clamp experiments, which can eliminate the uncertainty due to temperature and improve the measurement accuracy. This paper studies the influenc...
Sodium Chloride Solutions Temperature Pharmaceutical Solutions Least-Squares Analysis Spectroscopy, Near-Infrared Calibration Ions Models, Theoretical Sodium
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Mimicking Martian dust: An in-vacuum dust deposition system for testing the ultraviolet sensors on the Curiosity rover.

The Review of scientific instruments Oct 1, 2015
We have designed and developed an in-vacuum dust deposition system specifically conceived to simulate and study the effect of accumulation of Martian dust on the electronic instruments of scientific planetary exploration missions. We have used this d...
Spectrum Analysis Spacecraft Pressure Vacuum Electrical Equipment and Supplies Temperature Gravitation Radiation Equipment and Supplies United States Equipment Design United States National Aeronautics and Space Administration Models, Theoretical Ultraviolet Rays Extraterrestrial Environment Dust Motion Mars Robotics
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Of Models and Machines: Implementing Bounded Rationality.

Isis; an international review devoted to the history of science and its cultural influences Sep 1, 2015
This essay explores the early history of Herbert Simon's principle of bounded rationality in the context of his Artificial Intelligence research in the mid 1950s. It focuses in particular on how Simon and his colleagues at the RAND Corporation transl...
History, 20th Century Humans Cognition Artificial Intelligence Models, Theoretical Logic
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