Zobrazeno 1 - 7
of 7
pro vyhledávání: '"İleri beslemeli sinir ağları"'
Autor:
Bal, Çağatay, Yılmaz, Ersin
Publikováno v:
Turkiye Klinikleri Journal of Biostatistics. 14:90-102
Objective: Modeling right-censored data becomes a challenging task in survival analysis, due to having an incomplete data structure. When the response variable is rightcensored, classical estimation methods cannot be used directly. Therefore, the cen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::575bd7447c28ce4136de40bc85dfc5d8
https://doi.org/10.5336/biostatic.2022-89354
https://doi.org/10.5336/biostatic.2022-89354
Autor:
Oğuz Üstün
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 15, Iss 3, Pp 395-403 (2009)
Bu çalışmada çok katmanlı ileri besleneli bir sinir ağının tüm katmanlarındaki üyelik fonksiyonları genetik algoritma kullanarak belirlenmiştir. Bir sinir ağının etkinliğini gösteren temel ölçüt aynı sayıda düğüm ve bağlant
Externí odkaz:
https://doaj.org/article/68db059375a34f599ea4a419a320704b
Autor:
Oğuz ÜSTÜN
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 15, Iss 3, Pp 395-403 (2009)
In this study, activation functions of all layers of the multilayered feedforward neural network have been determined by using genetic algorithm. The main criteria that show the efficiency of the neural network is to approximate to the desired output
Externí odkaz:
https://doaj.org/article/385a4248122c42bb9a2739e4f78270d9
Autor:
GİOVANİS, Eleftherios
Publikováno v:
Volume: 3, Issue: 1 11-35
Aydın İktisat Fakültesi Dergisi
Aydın İktisat Fakültesi Dergisi
In this paper feed-forward neural networks are examined usinggenetic algorithms in the training process instead of error backpropagationalgorithm. Additionally, real encoding is preferred to binary encoding as it ismore appropriate to find the optimu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::93523a3bee72755d182dd96fa6f40a58
https://dergipark.org.tr/tr/pub/aifd/issue/42001/498659
https://dergipark.org.tr/tr/pub/aifd/issue/42001/498659
The purpose of this article is to demonstrate the use of feedforward neural networks (FFNNs), adaptive neural fuzzy inference systems (ANFIS), and probabilistic neural networks (PNNs) to discriminate between earthquakes and quarry blasts in Istanbul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d37418ab874617c3ffc7993c26d8f00f
https://hdl.handle.net/20.500.12619/2558
https://hdl.handle.net/20.500.12619/2558
Autor:
ÜSTÜN, Oğuz, YILDIZ, İlker
Publikováno v:
Volume: 1, Issue: 2 61-73
Uluslararası Teknolojik Bilimler Dergisi
Uluslararası Teknolojik Bilimler Dergisi
Bu çalışmada, ileri beslemeli bir sinir ağının eğitiminde kullanılan geri-yayılmalı öğrenme algoritmasındaki öğrenme parametreleri genetik algoritmalar kullanılarak belirlenmiştir. Öğrenme parametreleri öğrenme ve momentum katsay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::e49a411591c045d366780b930a4a4ac9
https://dergipark.org.tr/tr/pub/utbd/issue/25992/273764
https://dergipark.org.tr/tr/pub/utbd/issue/25992/273764
Some physical parameters of the nature are known to have precursory correlation to the preceding earthquakes. Unfortunately, due to several uncertainties and structural variations of the geophysical faults a definite relationship that repetitively in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3400::dd7f4bf2c513ebc22a9faa18431d6392
http://hdl.handle.net/11413/996
http://hdl.handle.net/11413/996