The potential of four different neuro-fuzzy embedded meta-heuristic algorithms, particle swarm optimization, genetic algorithm, harmony search, and teaching–learning-based optimization was investigated in this study estimating the water quality Yamuna River Delhi, India. A cross-validation approach employed by splitting data into three equal parts, where models were evaluated using each part. m...

How to analyze the features of stock price accurately and master the regularity of stock price changing with time quickly and effectively is of great theoretical and realistic significance and is an important research direction in financial field. For complicated non-linear and periodic variations of stock prices, a parallel computing model is proposed in this paper based on stock prediction al...

Wind speed (WS) is an important factor in wind power generation. Because of this, drastic changes the WS make it challenging to analyze accurately. Therefore, this study proposed a novel framework based on stacking ensemble machine learning (SEML) method. The application for modeling was developed at sixteen stations Iran. SEML method consists two levels. In particular, eleven (ML) algorithms s...

This research aims to estimate the overflow capacity of a curved labyrinth using different intelligent prediction models, namely adaptive neural-fuzzy inference system, support vector machine, M5 model tree, least-squares machine and machine–bat algorithm (LSSVM-BA). A total 355 empirical data for 6 congressional models were extracted from results laboratory study on models. The parameters upst...

A piezo-resistive pressure sensor is made of silicon, the nature of which is considerably influenced by ambient temperature. The effect of temperature should be eliminated during the working period in expectation of linear output. To deal with this issue, an approach consists of a hybrid kernel Least Squares Support Vector Machine (LSSVM) optimized by a chaotic ions motion algorithm presented. ...

Tian Zhongda, Li Shujiang, Wang Yanhong, Zhang Chao College of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China Corresponding author: Tian Zhong-da,Email:[email protected] Abstract: In order to improve control performance of nonlinear systems, a predictive control method based on improved free search algorithm and least square support vector machi...

In this paper, a mutation strategy that is based on Lévy Probabily Distribution is introduced in Artificial Bee Colony algorithm. The purpose is to better exploit promising solutions found by the bees. Such an approach is used to improve the performance of the original ABC in optimizing Least Squares Support Vector Machine hyper parameters. From the conducted experiment, the proposed lvABC show...