Skip to main content
Top

2023 | OriginalPaper | Chapter

Summary of Artificial Neural Network Effectiveness Evaluation Technology

Authors : Zhang Yue, Liang Min

Published in: Signal and Information Processing, Networking and Computers

Publisher: Springer Nature Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In the field of modern military struggle, research and preparation for war issues are becoming more and more important. The evaluation of the effectiveness of platforms and systems affects the research direction of military issues and even military operations directly or indirectly. However, the development of our high-tech evaluation system is relatively slow, and it has not reached the level of promoting the development of platforms and systems. This article starts with the evaluation of the operational effectiveness of artificial neural networks, the research draws on many materials in related fields, summarizes some methods used in the evaluation, and puts forward some thoughts, in order to provide reference value for the development of subsequent evaluation work.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Dong, Y., Wang, X.: Combination of multiple methods of combat effectiveness evaluation research. Firepower and Command Control 043(007), 10–13 (2018) Dong, Y., Wang, X.: Combination of multiple methods of combat effectiveness evaluation research. Firepower and Command Control 043(007), 10–13 (2018)
2.
go back to reference Guo, J., Li, T.-w., Li, C.-x., Huang, Q., Li, Z.-y. Construction of shipborne navigation equipment’s comprehensive effectiveness evaluation index system based on improved ADC model. In: 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014, pp. 822–826 (2015). https://doi.org/10.1109/CGNCC.2014.7007316 Guo, J., Li, T.-w., Li, C.-x., Huang, Q., Li, Z.-y. Construction of shipborne navigation equipment’s comprehensive effectiveness evaluation index system based on improved ADC model. In: 2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014, pp. 822–826 (2015). https://​doi.​org/​10.​1109/​CGNCC.​2014.​7007316
3.
go back to reference Wang, G.S., Qi, Z.F.: AHP effectiveness evaluation of electronic warfare command and control system under complex electromagnetic environment. Adv. Mater. Res. 989–994(989–994), 3212–3215 (2014)CrossRef Wang, G.S., Qi, Z.F.: AHP effectiveness evaluation of electronic warfare command and control system under complex electromagnetic environment. Adv. Mater. Res. 989–994(989–994), 3212–3215 (2014)CrossRef
4.
go back to reference Li, Y.N., Han, Z.Z.: Index and evaluation of radar anti-jamming ability based on improved grey correlation. Adv. Mater. Res. 926–930, 3629–3632 (2014)CrossRef Li, Y.N., Han, Z.Z.: Index and evaluation of radar anti-jamming ability based on improved grey correlation. Adv. Mater. Res. 926–930, 3629–3632 (2014)CrossRef
5.
go back to reference Xuan, Y.B., Huang, C.Q., Li, W.X.: Air combat situation assessment by gray fuzzy bayesian network. Appl. Mech. Mater. 69, 114–119 (2011)CrossRef Xuan, Y.B., Huang, C.Q., Li, W.X.: Air combat situation assessment by gray fuzzy bayesian network. Appl. Mech. Mater. 69, 114–119 (2011)CrossRef
6.
go back to reference Chen, H., Li, Y., Sun, L.: A new method of weapon system effectiveness evaluation based on fuzzy inference. Mil. Oper. Res. Syst. Eng. 04, 63–68 (2004) Chen, H., Li, Y., Sun, L.: A new method of weapon system effectiveness evaluation based on fuzzy inference. Mil. Oper. Res. Syst. Eng. 04, 63–68 (2004)
7.
go back to reference Chen, X., Hu, N.: Research on evaluation of combat effectiveness of electronic warfare UAV based on improved wavelet neural network. Electro-Optics and Control 025(005), 64–67, 91 (2018) Chen, X., Hu, N.: Research on evaluation of combat effectiveness of electronic warfare UAV based on improved wavelet neural network. Electro-Optics and Control 025(005), 64–67, 91 (2018)
8.
go back to reference Liu, G., Chen, W., Cheng, H., Xu, Y.: Evaluation and prediction of combat effectiveness of artillery-light integrated weapon system based on BP neural network. J. Nav. Univ. Eng. 031(003), 55–59 (2019) Liu, G., Chen, W., Cheng, H., Xu, Y.: Evaluation and prediction of combat effectiveness of artillery-light integrated weapon system based on BP neural network. J. Nav. Univ. Eng. 031(003), 55–59 (2019)
9.
go back to reference Feng, G., Liu, X., Fang, L., Yang, T.: Evaluation of tank combat effectiveness based on SOM neural network. Firepower and Command Control 040(011), 84–86 (2015) Feng, G., Liu, X., Fang, L., Yang, T.: Evaluation of tank combat effectiveness based on SOM neural network. Firepower and Command Control 040(011), 84–86 (2015)
11.
go back to reference Zhang, L., Tian, S., Zhang, F., Hui, X.: Combat effectiveness evaluation of aircraft integrated with neural network. Firepower and Command Control, 032(012), 89–91,102 (2007) Zhang, L., Tian, S., Zhang, F., Hui, X.: Combat effectiveness evaluation of aircraft integrated with neural network. Firepower and Command Control, 032(012), 89–91,102 (2007)
12.
go back to reference Hasegawa, M., et al.: Experimental evaluation of distributed radio resource optimization algorithm based on the neural networks for cognitive wireless cloud. In: IEEE International Symposium on Personal. IEEE (2010) Hasegawa, M., et al.: Experimental evaluation of distributed radio resource optimization algorithm based on the neural networks for cognitive wireless cloud. In: IEEE International Symposium on Personal. IEEE (2010)
13.
go back to reference Chherawala, Y., Roy, P.P., Cheriet, M.: feature set evaluation for offline handwriting recognition systems: application to the recurrent neural network model. IEEE Trans. Cybern. (2016) Chherawala, Y., Roy, P.P., Cheriet, M.: feature set evaluation for offline handwriting recognition systems: application to the recurrent neural network model. IEEE Trans. Cybern. (2016)
14.
go back to reference Zheng, Y., Zhang, J., Li, Y.: A certain type of equipment combat effectiveness evaluation method based on GA-BP neural network. Journal of Air Force Early Warning Academy 000(005), 346–348 (2012) Zheng, Y., Zhang, J., Li, Y.: A certain type of equipment combat effectiveness evaluation method based on GA-BP neural network. Journal of Air Force Early Warning Academy 000(005), 346–348 (2012)
15.
go back to reference Li, B., Liu, J., Dong, K.: Evaluation of operational effectiveness of shipborne helicopter anti-submarine weapon system based on neural network. Ship Electron. Eng. 027(005), 50–52 (2007) Li, B., Liu, J., Dong, K.: Evaluation of operational effectiveness of shipborne helicopter anti-submarine weapon system based on neural network. Ship Electron. Eng. 027(005), 50–52 (2007)
16.
go back to reference Wei, Q., Lu, Z.: Combat effectiveness evaluation of surface-to-air missile weapon system based on BP neural network. Ordnance Ind. Autom. 026(008), 7–8 (2007) Wei, Q., Lu, Z.: Combat effectiveness evaluation of surface-to-air missile weapon system based on BP neural network. Ordnance Ind. Autom. 026(008), 7–8 (2007)
17.
go back to reference Jia, Y., Zhao, X., Lin, X., Cui, S.: Fuzzy comprehensive evaluation model and simulation of torpedo combat effectiveness based on BP neural network. Acta Armamentarii 030(009), 1232–1235 (2009) Jia, Y., Zhao, X., Lin, X., Cui, S.: Fuzzy comprehensive evaluation model and simulation of torpedo combat effectiveness based on BP neural network. Acta Armamentarii 030(009), 1232–1235 (2009)
18.
go back to reference Yang, M., Chen, J., Niu, Y.: Cloud-BP neural network evaluation method of communication electronic defense operational effectiveness. Commun. Technol. 050(004), 746–752 (2017) Yang, M., Chen, J., Niu, Y.: Cloud-BP neural network evaluation method of communication electronic defense operational effectiveness. Commun. Technol. 050(004), 746–752 (2017)
19.
go back to reference Zhou, X., Cong, F., Pang, S.: Effectiveness evaluation of land-air joint operations based on BN-and-BP neural network fusion. Firepower and Command Control 043(004), 3–8 (2018) Zhou, X., Cong, F., Pang, S.: Effectiveness evaluation of land-air joint operations based on BN-and-BP neural network fusion. Firepower and Command Control 043(004), 3–8 (2018)
20.
go back to reference Wu, X., Qu, G.: Comprehensive combat effectiveness evaluation of fighter aircraft based on LMBP neural network. Journal of Xi’an Aerotechnical College 034(005), 12–19 (2016) Wu, X., Qu, G.: Comprehensive combat effectiveness evaluation of fighter aircraft based on LMBP neural network. Journal of Xi’an Aerotechnical College 034(005), 12–19 (2016)
21.
go back to reference Zhao, J., Zhang, J., Li, Y., Zheng, Y.: Evaluation of combat effectiveness of a certain type of equipment based on BP neural network. Ship Electronic Warfare 038(005), 81–83 (2015) Zhao, J., Zhang, J., Li, Y., Zheng, Y.: Evaluation of combat effectiveness of a certain type of equipment based on BP neural network. Ship Electronic Warfare 038(005), 81–83 (2015)
22.
go back to reference Niu, W.J., Qu, E.G., Liu, C.Y.: Optimizing design and application of BP neural networks based on genetic algorithm. Adv. Mater. Res. 317–319, 245–249 (2011)CrossRef Niu, W.J., Qu, E.G., Liu, C.Y.: Optimizing design and application of BP neural networks based on genetic algorithm. Adv. Mater. Res. 317–319, 245–249 (2011)CrossRef
23.
go back to reference Mcmillan, S.S., King, M., Tully, M.P.: How to use the nominal group and Delphi techniques. Int. J. Clin. Pharm. 38(3), 655–662 (2016) Mcmillan, S.S., King, M., Tully, M.P.: How to use the nominal group and Delphi techniques. Int. J. Clin. Pharm. 38(3), 655–662 (2016)
24.
go back to reference Gu, J., Liu, Q., Li, H.: Application of neural network to evaluate the operational effectiveness of shipborne weapon system. Command Control and Simulation 029(002), 66–70 (2007) Gu, J., Liu, Q., Li, H.: Application of neural network to evaluate the operational effectiveness of shipborne weapon system. Command Control and Simulation 029(002), 66–70 (2007)
25.
go back to reference Luo, G., Xiao, W., He, P.: Effectiveness evaluation of combat force command information system based on genetic neural network. Journal of Sichuan Armamentary Engineering 036(008), 72–77, 88 (2015) Luo, G., Xiao, W., He, P.: Effectiveness evaluation of combat force command information system based on genetic neural network. Journal of Sichuan Armamentary Engineering 036(008), 72–77, 88 (2015)
Metadata
Title
Summary of Artificial Neural Network Effectiveness Evaluation Technology
Authors
Zhang Yue
Liang Min
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-3387-5_23