Výsledky vyhledávání - "artifical neural networks"

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Predicting Malaria Incidence Using Artifical Neural Networks and Disaggregation Regression

Disaggregation modelling is a method of predicting disease risk at high resolution using aggregated response data. High resolution disease mapping is an important public health tool to aid the optimisation of resources, and is commonly used in assist

Externí odkaz: http://arxiv.org/abs/2304.08419

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Elektronická kniha

Soft computing in water resources engineering [electronic resource] : artifical neural networks, fuzzy logic and genetic algorithms / G Tayfur.

Autor: Tayfur, G.

Externí odkaz: Kolekce e-knih KNAV Registrovani uzivatele: plny text online 5 minut, dalsi pristup na vyzadani. Registered users: full text online 5 minutes, further access on request.

Akademický článek

Effects of research and development spending groups on economic growth: ARDL analysis with artifical neural networks within Turkey case

Autor: Fatih Volkan AYYILDIZ, Onur DEMİRCİ

Publikováno v: Trends in Business and Economics, Vol 36, Iss 4, Pp 346-358 (2022)

Externí odkaz: https://doaj.org/article/34e63bb33ae14078973a1f334b084ba7

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Akademický článek

Ar-Ge harcama gruplarının ekonomik büyüme üzerindeki etkileri: Türkiye örneğinde yapay sinir ağları ile ARDL analizi.

Autor: AYYILDIZ, Fatih Volkan¹ fatihvolkanayyildiz@ardahan.edu.tr, DEMİRCİ, Onur¹

Publikováno v: Trends in Business & Economics. Oct2022, Vol. 36 Issue 4, p346-358. 13p.

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Akademický článek

Classification of Dive Profiles: A Comparison of Statistical Clustering Techniques and Unsupervised Artifical Neural Networks

Autor: Schreer, Jason F., Kovacs, Kit M.

Publikováno v: Journal of Agricultural, Biological, and Environmental Statistics, 1998 Dec 01. 3(4), 383-404.

Externí odkaz: https://www.jstor.org/stable/1400572

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Applying Artifical Neural Networks To Predict Nominal Vehicle Performance

Autor: Last, Adam J.

This paper investigates the use of artificial neural networks (ANNs) to replace traditional algorithms and manual review for identifying anomalies in vehicle run data. The specific data used for this study is from undersea vehicle qualification tests

Externí odkaz: http://arxiv.org/abs/1603.05189

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Initialization of multilayer forecasting artifical neural networks

Autor: Bochkarev, Vladimir V., Maslennikova, Yulia S.

Publikováno v: Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 2010, vol. 152, no. 1, pp. 7-14. (In Russian)

In this paper, a new method was developed for initialising artificial neural networks predicting dynamics of time series. Initial weighting coefficients were determined for neurons analogously to the case of a linear prediction filter. Moreover, to i

Externí odkaz: http://arxiv.org/abs/1410.6413

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Akademický článek

Uyarlamalı Ağ Tabanlı Bulanık Mantık Çıkarım Sistemi ve Yapay Sinir Ağları ile Türkiye'deki COVID-19 Vefat Sayısının Tahmin Edilmesi. (Turkish)

Autor: TURAN, Tülay, TURAN, Gökhan, KÖSE, Utku

Publikováno v: International Journal of InformaticsTechnologies; nis2022, Vol. 15 Issue 2, p97-105, 9p

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Conference

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