14,708 Result(s)
-
Article
Improved dominance rough set-based classification system
Feature selection and classification is widely used in many areas of science and engineering, as large datasets become increasingly common. In particular, bioscience and medical datasets routinely contain seve...
-
Article
RBFNN-based model for heavy metal prediction for different climatic and pollution conditions
Heavy metal toxicity is a matter of considerable concern for environmental researchers. A highly cause of heavy metal toxicity in the aquatic environments is considered a serious issue that required full atte...
-
Article
Erratum to: A new measure of divergence with its application to multi-criteria decision making under fuzzy environment
-
Article
Global exponential convergence of non-autonomous SICNNs with multi-proportional delays
We give a detailed analysis on convergence for a class of non-autonomous shunting inhibitory cellular neural networks involving multi-proportional delays. By employing the differential inequality techniques, w...
-
Article
Nonlinear radiation effects on MHD flow of nanofluid over a nonlinearly stretching/shrinking wedge
Flow over a moving wedge in a nanofluid is considered. Magneto-hydrodynamic effects are incorporated along with the passive control model of nanofluids that also takes into account the Brownian motion and ther...
-
Article
Vertical extrapolation of wind speed using artificial neural network hybrid system
Different approaches have been used for the extrapolation of wind speed to the turbine hub height which are mainly based on logarithmic law, power law and various modifications of the two. This paper proposes ...
-
Article
A general description generator for human activity images based on deep understanding framework
Image description generation is of great application value in online image searching. Inspired by the recent achievements on neocortex study, we design a deep image understanding framework to implement a desc...
-
Article
Almost periodic solutions for fuzzy cellular neural networks with time-varying delays
In this paper, a class of fuzzy cellular neural networks with time-varying delays is considered. Based on the almost periodic function theory, by applying differential inequality techniques, we establish some ...
-
Article
Wavelet-based emotion recognition system using EEG signal
In this research, emotional states in arousal/valence dimensions have been classified using minimum number of channels and frequency bands of EEG signal. Using the discrete wavelet transforms, EEG signals have...
-
Article
Reaching optimized parameter set: protein secondary structure prediction using neural network
We propose an optimized parameter set for protein secondary structure prediction using three-layer feed forward back propagation neural network. The methodology uses four parameters viz. encoding scheme, windo...
-
Article
Binary and multi-class motor imagery using Renyi entropy for feature extraction
Entropy, the complexity measures for time series, has found numerous successful applications in brain signal analysis such as detection of epileptic seizure and monitoring the depth of anesthesia. Renyi entrop...
-
Article
Multiple attribute group decision-making method based on neutrosophic number generalized hybrid weighted averaging operator
Neutrosophic number is an important tool which is used to express indeterminate evaluation information. The purpose of the paper is to propose some aggregation operators based on neutrosophic number, which are...
-
Article
Erratum to: Vertical extrapolation of wind speed using artificial neural network hybrid system
-
Article
Biologically inspired computing framework for solving two-point boundary value problems using differential evolution
In the present study, a design of biologically inspired computing framework is presented for solving second-order two-point boundary value problems (BVPs) by differential evolution (DE) algorithm employing fin...
-
Article
New algebraic conditions for ISS of memristive neural networks with variable delays
In this paper, a general class of memristive neural networks with variable delays is studied. By utilizing control theory and nonsmoooth analysis, two sufficient criteria ensuring input-to-state stability of m...
-
Article
Sequential wavelet-ANN with embedded ANN-PSO hybrid electricity price forecasting model for Indian energy exchange
This research paper presents a novel sequential wavelet-artificial neural network (ANN) with embedded ANN-particle swarm optimization (PSO) for short-term day-ahead forecasting of market clearing price (MCP) i...
-
Article
Applying fuzzy multi-objective linear programming to a project management decision with nonlinear fuzzy membership functions
This paper investigates a multi-objective project management problem where the goals of the decision maker are fuzzy. Prior research on this topic has considered linear membership functions to model uncertain ...
-
Article
Approaches to group decision making based on interval-valued intuitionistic multiplicative preference relations
In this paper, we introduce a new kind of preference relation called the interval-valued intuitionistic multiplicative preference relation (IVIMPR). Then, we develop two types of operators to aggregate the int...
-
Article
A new measure of divergence with its application to multi-criteria decision making under fuzzy environment
Divergence measure is an important tool for determining the amount of discrimination between two probability distributions. Since the introduction of fuzzy sets, divergence measures between two fuzzy sets have...
-
Article
Supervised multiview learning based on simultaneous learning of multiview intact and single view classifier
Multiview learning problem refers to the problem of learning a classifier from multiple view data. In this data set, each data point is presented by multiple different views. In this paper, we propose a novel ...
