Son, Le Hoang Ciaramella, Angelo Thu Huyen, Duong Thi Staiano, Antonino Tuan, Tran Manh Van Hai, Pham
Published in
Neural Computing and Applications
Hospital cost analysis (HCA) becomes a key topic and forefront of politics, social welfare and medical discourse. HCA includes a wide range of expenses; yet the foremost attention relates to the money expense in which hospital managers would like to draw a figure of incomes in the past and future. Based on the HCA results, they can develop many pla...
Avrutskiy, Vsevolod I.
Published in
Neural Computing and Applications
Solving partial differential equations using neural networks is mostly a proof of concept approach. In the case of direct function approximation, a single neural network is constructed to be the solution of a particular boundary value problem. Independent variables are fed into the input layer, and a single output is considered as the solution’s va...
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...
Xu, Shuzhen Zhu, Qing Wang, Jin
Published in
Neural Computing and Applications
Though many methods have been proposed, image completion still remains challenge; besides textured patterns completion, it often requires high-level understanding of scenes and objects being completed. More recently, deep convolutional generative adversarial networks have been turned into an efficient tool for image completion. Manually specified t...
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...