A method was developed to accurately predict the risk of injuries in industrial jobs based on datasets not meeting the assumptions of parametric statistical tools, or being incomplete. Previous research used a backward-elimination process for feedforward neural network (FNN) input variable selection. Simulated annealing (SA) was used as a local search method in conjunction with a conjugate-grad...

Wind energy is rapidly increasing and it is becoming a significant contributor to the electricity grid. Wind speed is an important factor in wind power production and integration. This paper presents a wind speed forecasting using feature selection method and bagging neural network. Feature selection plays an essential role in the machine learning environment and especially in the prediction ta...

Unified power flow controller (UPFC), as one of the most important FACTS devices, can be used to increase the damping of power system oscillation. The effect rate of this controller on increasing oscillation damping depends on the appropriate selection of input controlling signal, optimal selection of UPFC controlling parameters, and its proper position in power system. In this paper, the capab...

s: There are three basic multilevel structures for hierarchical models, namely, incremental, aggregated and cascaded. Designing of these hierarchical models faces many difficulties including determination of the hierarchical structure, parameter identification and input variables selection for each submodels. A tree-structure based Hierarchical Hybrid Soft Computing (HHSC) framework is presente...

These days, network traffic is increasing due to the increasing use of smart devices and the Internet. Amount of the intrusion detection studies focused on feature selection or reduction because some of the features are irrelevant and redundant which results lengthy detection process and degrades the performance of an intrusion detection system (IDS). The purpose of this study is to identify im...

This paper examines a method to reduce the implementation complexity of the RBF Bayesian equalizer by model selection. The selection process is based on nding a subset model to approximate the response of the full RBF model for the current input vector, and not for the entire input space. By such a scheme, when the channel equalization problem is non-stationary, the requirement to update all th...

given the reduced freshwater supplies across the world, seawater desalination is one of the appropriate methods available for producing freshwater. selecting an optimal location is crucial in the installation of these plants owing to the environmental problems they cause. the present study was conducted to identify optimal locations for installing desalination plants in the coastal areas of sou...

Syllable-to-word (STW) conversion is a main task of Chinese Language Processing and a fundamental to syllable/speech understanding. The two major problems of STW conversion are syllable-word segmentation and homophone selection. This paper presents a word pair model (WPM) that can effectively perform homophone selection and syllable-word segmentation to improve Chinese input systems. The STW ex...