This paper proposes the use of an approximated artificial neural network (AANN) approach for the case of reliability when complex network design is considered.
This paper proposes the use of an approximated artificial neural network (AANN) approach for the case of reliability when complex network design is considered.
This paper proposes the use of an approximated artificial neural network (AANN) approach for the case of reliability when complex network design is considered.
An Optimal ANN strategy is proposed as a means of assessing the reliability of the network and its performance may be evaluated with the help of the ...
Performance evaluation of approximated artificial neural network (AANN) algorithm for reliability improvement. Baijnath Kaushik Haider Banka.
This study explores the use of ANNs on a heat transfer application. It features masonry wall assemblies exposed to elevated temperatures on one side.
Approximation Knowledge-Based Recurrent Neural Network for ...
ijritcc.org › ijritcc › article › view
Baijnath Kaushik(2015) “Performance evaluation of approximated artificial neural network (AANN) algorithm for reliability improvement”, Applied Soft Computing ...
People also ask
How to evaluate algorithm performance in artificial intelligence?
How is evaluation done in Ann?
The aim of this paper is to review artificial neural networks in evaluation and optimization of modified release solid dosage forms.
Aug 24, 2023 · 80% of the data is used to train, test, and validate the ANN and ANFIS models, while the remaining 20% is used to evaluate the models. The best ...
Sep 11, 2024 · The results reveal that the RF and ANN models exhibited superior performance, both achieving Mean Overall Accuracy (MOA) of 96% for Colombo and ...