Choudhary, Ankush Kumar, Manoj Gupta, Munish Kumar Unune, Deepak Kumar Mia, Mozammel
Published in
Neural Computing and Applications
Now-a-days, submerged arc welding processes (SAW) are immensely being applied for joining the thick plates and surfacing application. However, the selection of optimal SAW process parameters is indeed an intricate task which aims to accomplish the desired quality of welded part at an economic way. Therefore, in the present paper, the research effor...
Harar, Pavol Galaz, Zoltan Alonso-Hernandez, Jesus B. Mekyska, Jiri Burget, Radim Smekal, Zdenek
Published in
Neural Computing and Applications
Automatic objective non-invasive detection of pathological voice based on computerized analysis of acoustic signals can play an important role in early diagnosis, progression tracking, and even effective treatment of pathological voices. In search towards such a robust voice pathology detection system, we investigated three distinct classifiers wit...
Yin, Biao Dridi, Mahjoub Moudni, Abdellah El
Published in
Neural Computing and Applications
This paper presents a new method to solve the scheduling problem of adaptive traffic signal control at intersection. The method involves recursive least-squares temporal difference (RLS-TD(λ)) learning that is integrated into approximate dynamic programming. The learning mechanism of RLS-TD(λ) is to make an adaptation of linear function approximati...
Komathi, C. Umamaheswari, Mallapu Gopinath
Published in
Neural Computing and Applications
Switched-mode power supplies used for powering new generation devices like microprocessors, utility grids and electric vehicles need to operate with faster dynamic response. This paper proposes cascade control technique using genetic algorithm to obtain the optimal proportional integral outer voltage and inner current controller parameters of inter...
Manogaran, Gunasekaran Chilamkurti, Naveen Hsu, Ching-Hsien
Published in
Neural Computing and Applications
Elhoseny, Mohamed Yuan, Xiaohui Gunasekaran, M.
Published in
Neural Computing and Applications
Cornejo-Bueno, L. Camacho-Gómez, C. Aybar-Ruiz, A. Prieto, L. Barea-Ropero, A. Salcedo-Sanz, S.
Published in
Neural Computing and Applications
In this paper, a hybrid system for wind power ramp events (WPREs) detection is proposed. The system is based on modeling the detection problem as a binary classification problem from atmospheric reanalysis data inputs. Specifically, a hybrid neuro-evolutionary algorithm is proposed, which combines artificial neural networks such as extreme learning...
Gopinath, M. P. Tamizharasi, G. S. Kavisankar, L. Sathyaraj, R. Karthi, S. Aarthy, S. L. Balamurugan, B.
Published in
Neural Computing and Applications
Internet of underwater things (IoUT) is an emerging technique with widespread applications. In such type of systems, efficient and secure use of network resources remains to be a greater challenge. This is due to the reason that it works on the basis of a network of smart interconnected objects. This creates the necessity for energy-aware and secur...
Li, Yuchen Wang, Honggang Yang, Zaoli
Published in
Neural Computing and Applications
In this paper, we present a practical line balancing problem: multiple-operator assembly line balancing problem II. The formulation of the proposed problem is novel in terms of investigating the operator assignment from a different perspective. In order to solve this problem, we develop a simulated annealing (SA)-based two-stage solution procedure,...
Hao, Huijuan Wang, Maoli Tang, Yongwei Li, Qingdang
Published in
Neural Computing and Applications
For the data fusion of multi-sensors, the determination of weight directly affects the accuracy and performance of the fusion algorithm. In order to improve the accuracy of fusion algorithm, an adaptive weighted algorithm based on fuzzy preference relations is proposed. The degree of preference between signals is represented by introducing the impr...
