Applied Soft Computing
ISSN: 1568-4946
Datasets associated with articles published in Applied Soft Computing
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- Data for: A multi-attribute group decision making method considering both the correlation coefficient and hesitancy degrees under interval-valued intuitionistic fuzzy Environmentthe calculate process of my application example
- Data for: Flow interval prediction based on deep residual network and lower and upper boundary estimation methodWe selected the measured hydrological data from 1991 to 1999
- Data for: Total flow time minimization in no-wait job shop using a hybrid discrete group search optimizerData for: Total flow time minimization in no-wait job shop using a hybrid discrete group search optimizer
- Matlab source code for: Hybrid Multi-objective Evolutionary Algorithm Based on Search Manager Framework for Big Data Optimization ProblemsMatlab Code For Hybrid Multi-objective Evolutionary Algorithm Based on Search Manager Framework for Big Data Optimization Problems
- Data for: Ensemble Probabilistic Prediction Approach for Uncertainty Modeling of Crude Oil PriceThe daily and weekly Europe Brent (BRE) spot price data (Dollars per Barrel) without missing sample points, collected from U.S. Energy Information Administration, were considered as studied data in this paper.
- Data for: Efficient Approximation Approaches to Minimal Exposure Path Problem in Probabilistic Coverage Model for Wireless Sensor NetworksThis is source code GB-MEP, GA-MEP and HGA-NFE.
- Data for: Enhanced grey wolf optimizer with a more realistic modelThe matlab code of the enhanced grey wolf optimizer
- Data for: Accelerating Gaussian Process Surrogate Modeling using Compositional Kernel Learning and Multi-stage Sampling frameworkThe source codes are uploaded for the replication of results in the following manuscript: Accelerating Gaussian Process Surrogate Modeling using Compositional Kernel Learning and Multi-stage Sampling framework Once the zip file is unzipped, please read "readme.pdf" to see the implementation and results.
- Data for: Applied improved RBF neural network model for predicting the broiler output energiesThese data can use for evaluate the energy flow of the broiler farms in Iran.
- Data for: Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning schemeWe provided research data and and MATLAB source codes about SOFNN-HPS algorithm, and also provided some comparison algorithm source coded. Researchers can use these data and codes for scientific research and experimental comparison. These data and codes cannot be used for commercial purposes.
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