AIMC Topic: Fuzzy Logic

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A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network.

PloS one Feb 8, 2018
In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluctuation-Trends-based Back Propagation(HTBP)Neural Network model. First, we compare each value of the historical training data with the previous day's v...
Forecasting Fuzzy Logic Taiwan Neural Networks, Computer Algorithms Investments Empirical Research
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Cell Segmentation Based on FOPSO Combined With Shape Information Improved Intuitionistic FCM.

IEEE journal of biomedical and health informatics Feb 6, 2018
Fuzzy c-means (FCM) clustering algorithms have been proved to be effective image segmentation techniques. However, FCM clustering algorithms are sensitive to noises and initialization. They cannot effectively segment cell images with inhomogeneous gr...
Image Processing, Computer-Assisted Fuzzy Logic Cluster Analysis Humans Algorithms Cytological Techniques Pattern Recognition, Automated HeLa Cells
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A YinYang bipolar fuzzy cognitive TOPSIS method to bipolar disorder diagnosis.

Computer methods and programs in biomedicine Feb 6, 2018
BACKGROUND AND OBJECTIVE: Bipolar disorder is often mis-diagnosed as unipolar depression in the clinical diagnosis. The main reason is that, different from other diseases, bipolarity is the norm rather than exception in bipolar disorder diagnosis. Yi...
Cognition Decision Making Humans Models, Theoretical Practice Patterns, Physicians' Fuzzy Logic Bipolar Disorder
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Generalized backpropagation algorithm for training second-order neural networks.

International journal for numerical methods in biomedical engineering Feb 6, 2018
The artificial neural network is a popular framework in machine learning. To empower individual neurons, we recently suggested that the current type of neurons could be upgraded to second-order counterparts, in which the linear operation between inpu...
Machine Learning Algorithms Fuzzy Logic Neural Networks, Computer
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A fuzzy logic control in adjustable autonomy of a multi-agent system for an automated elderly movement monitoring application.

International journal of medical informatics Feb 6, 2018
Autonomous agents are being widely used in many systems, such as ambient assisted-living systems, to perform tasks on behalf of humans. However, these systems usually operate in complex environments that entail uncertain, highly dynamic, or irregular...
Models, Theoretical Fuzzy Logic Monitoring, Physiologic Algorithms Humans Computer Simulation Aged Pattern Recognition, Automated Movement
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Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing.

IEEE journal of biomedical and health informatics Jan 30, 2018
With advancements in information and communication technology, there is a steep increase in the remote healthcare applications in which patients can get treatment from the remote places also. The data collected about the patients by remote healthcare...
Cloud Computing Humans Computer Communication Networks Fuzzy Logic Medical Informatics Applications
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A novel method for the production of core-shell microparticles by inverse gelation optimized with artificial intelligent tools.

International journal of pharmaceutics Jan 16, 2018
Numerous studies have been focused on hydrophobic compounds encapsulation as oils. In fact, oils can provide numerous health benefits as synergic ingredient combined with other hydrophobic active ingredients. However, stable microparticles for pharma...
Technology, Pharmaceutical Chemistry, Pharmaceutical Alginates Microspheres Artificial Intelligence Neural Networks, Computer Glucuronic Acid Fuzzy Logic Hexuronic Acids Equipment Design Calcium Chloride Drug Compounding Emulsions Sunflower Oil Gels Hydrophobic and Hydrophilic Interactions Capsules
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Enhanced Ant Colony Optimization with Dynamic Mutation and Ad Hoc Initialization for Improving the Design of TSK-Type Fuzzy System.

Computational intelligence and neuroscience Jan 15, 2018
This paper proposes an enhanced ant colony optimization with dynamic mutation and ad hoc initialization, ACODM-I, for improving the accuracy of Takagi-Sugeno-Kang- (TSK-) type fuzzy systems design. Instead of the generic initialization usually used i...
Fuzzy Logic Neural Networks, Computer Ants Algorithms Behavior, Animal Animals
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Improving the anesthetic process by a fuzzy rule based medical decision system.

Artificial intelligence in medicine Jan 5, 2018
OBJECTIVE: The main objective of this research is the design and implementation of a new fuzzy logic tool for automatic drug delivery in patients undergoing general anesthesia. The aim is to adjust the drug dose to the real patient needs using heuris...
Signal Processing, Computer-Assisted Anesthetics, Intravenous Infusion Pumps Predictive Value of Tests Fuzzy Logic Infusions, Intravenous Adult Time Factors Anesthesia, Intravenous Decision Support Techniques Propofol Electroencephalography Intraoperative Neurophysiological Monitoring Clinical Decision-Making Male Brain Waves Decision Support Systems, Clinical Humans Middle Aged Female Consciousness Monitors
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Fuzziness-based active learning framework to enhance hyperspectral image classification performance for discriminative and generative classifiers.

PloS one Jan 5, 2018
Hyperspectral image classification with a limited number of training samples without loss of accuracy is desirable, as collecting such data is often expensive and time-consuming. However, classifiers trained with limited samples usually end up with a...
Fuzzy Logic Models, Statistical Remote Sensing Technology Machine Learning Support Vector Machine Image Enhancement
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