Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS–android application for breast cancer diagnosis/prediction

Breast cancer is a common disease that can result in death among women. Cancer research is important because early detection of cancer facilitates clinical practice for patients. The aim of the study is to ensure that breast cancer can be diagnosed in a short time and easily. For this purpose, a dat...

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Vydané v:	The Journal of supercomputing Ročník 80; číslo 4; s. 4533 - 4553
Hlavný autor:	Bülbül, Mehmet Akif
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.03.2024 Springer Nature B.V
Predmet:	Accuracy Artificial intelligence Artificial neural networks Back propagation Back propagation networks Breast cancer Compilers Computer Science Datasets Decision support systems Decision trees Deep learning Diagnosis Fuzzy logic Genetic algorithms Hybrid structures Interpreters Machine learning Mammography Medical diagnosis Neural networks Optimization algorithms Processor Architectures Programming Languages Success Support vector machines Decision support systems Model and hyperparameter optimization Breast cancer classification Genetic algorithm Artificial neural networks
ISSN:	0920-8542, 1573-0484
On-line prístup:	Získať plný text
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