Energy demand classification by probabilistic neural network for medical diagnosis applications

被引：3

作者：

Shilaja, C. ^{[1
]}

Arunprasath, T. ^{[1
]}

机构：

[1] Kalasalingam Acad Res & Educ, Dept Elect & Elect Engn, Virudunagar 626126, Tamil Nadu, India

来源：

NEURAL COMPUTING & APPLICATIONS | 2020年 / 32卷 / 15期

关键词：

Energy demand; Prediction; Probabilistic neural network; Classification; ELECTRICITY DEMAND; PREDICTION; MODEL;

D O I：

10.1007/s00521-018-03978-w

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Forecasting in the field of power management is essential in recent days, due to the high electrical consumption at household and medical diagnosis applications to classify the electricity usage. It is highly impossible to identify the more accurate calculations in electricity consumption due to many uncertainties. This paper helps to overcome these uncertainties into probabilities by utilizing probabilistic neural network (PNN). The most complicated, complex and non-defined problems are well tackled by PNN as it is universally accepted as the best alternative technique. The conventional way of programming is not done but it is trained on the basis of behavioral representation of the data using the previous history. Multiple applications have been benefited using this system. Generally, PNN is used to differentiate four kinds of data produced from various grids and simultaneously the data of the grid are classified. 95% of reliability and accuracy is obtained from calculations produced from PNN as per the data results. The design can be used for appropriate grid development and to classify electricity usage.

引用

页码：11129 / 11136

页数：8

共 50 条

[1] Retraction Note: Energy demand classification by probabilistic neural network for medical diagnosis applications
C. Shilaja
T. Arunprasath
[J]. Neural Computing and Applications, 2024, 36 (24) : 15199 - 15199
[2] Probabilistic Neural Network Structure Reduction for Medical Data Classification
Kusy, Maciej
Kluska, Jacek
[J]. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT I, 2013, 7894 : 118 - 129
[3] Dimensionality Reduction for Probabilistic Neural Network in Medical Data Classification Problems
Kusy, Maciej
[J]. INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2015, 61 (03) : 289 - 300
[4] Artificial Neural Network and Mobile Applications in Medical Diagnosis
Pearce, Gillian
Wong, Julian
Mirtskhulava, Lela
Al-Majeed, Salah
Bakuria, Koba
Gulua, Nana
[J]. 2015 17TH UKSIM-AMSS INTERNATIONAL CONFERENCE ON COMPUTER MODELLING AND SIMULATION (UKSIM), 2015, : 61 - 64
[5] SAPNN: self-adaptive probabilistic neural network for medical diagnosis
Xiong, Yibin
Wu, Jun
Wang, Qian
Wei, Dandan
[J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2024, 27 (01) : 68 - 77
[6] Probabilistic neural network classification for microarraydata
Comes, B
Kelemen, A
[J]. PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 1714 - 1717
[7] Fingerprint classification with probabilistic neural network
Pourghassem, H
Ghassemian, H
[J]. ISSPA 2005: THE 8TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOLS 1 AND 2, PROCEEDINGS, 2005, : 663 - 666
[8] Probabilistic Neural Network for pattern classification
Patra, PK
Nayak, M
Nayak, SK
Gobbak, NK
[J]. PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3, 2002, : 1200 - 1205
[9] Probabilistic neural network for breast cancer classification
Ahmad Taher Azar
Shaimaa Ahmed El-Said
[J]. Neural Computing and Applications, 2013, 23 : 1737 - 1751
[10] Probabilistic Neural Network for Breast Biopsy Classification
Al-Timemy, Ali H.
Al-Naima, Fawzi M.
Qaeeb, Nebras H.
[J]. 2009 SECOND INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2009), 2009, : 101 - +

← 1 2 3 4 5 →