An example of an artificial neural network intended for use in the educational process (in such disciplines as "The socio-political importance of artificial intelligence systems", "History and philosophy of sci
An example of artificial neural network application for indirect estimation of rock parameters. Rock Mech. Rock Eng. 41, 781-795.Yilmaz I, Yuksek AG (2008) An example of artificial neural network (ANN) application for indirect estimation of rock parameters. Rock Mech Rock Eng 41(5):781-795...
Recurrent neural network (RNN) What is the Recurrent Neural Network? Defination A recurrent neural network (RNN) is a class of artificial neural network where connections between nodes form a directed graph along a temporal sequenc...Graph Wavelet Neural Network 论文标题 Graph Wavelet Neural ...
The aim of this study is to assess the reliability of different artificial neural networks as tools for identifying taxonomic or ecotypic subdivisions in European water voles (genus Arvicola). Self-organizing maps show that taxa at subspecies or species level are organized along morphological ...
Its use in artificial intelligence has been met with success in a number of research areas and applications including the development of cognitive models and neural networks. At the same time, the theory has been criticized for being philosophically unrealistic and logistically inefficient. 1308 Words...
In this study, artificial neural network (ANN) model and logistic regression were applied to analyze susceptibility and identify the main controlling factors of landslide in Meijiang River Basin of Southern China. Methods Methods: Eleven variables such as altitude, slope angle, slope aspect, topograph...
Engineering Applications of Artificial IntelligenceJournal2023,Engineering Applications of Artificial Intelligence HamilStanly, ...RijiPaul 2Background Adversarial examplesare aberrations that occur when a clean image with carefully engineered noises at specific places is added to direct the DNN models to mis...
I’ve been spending a lot of time on Lesson 3/Chapter 4 of the fast.ai course trying to really understand the fundamentals of neural networks. Conceptually, they’re pretty simple, but I wanted to take some time to work through the details.In particular, I spent a lot of time on back...
Empirical data (photographs of compost content at various stages of maturation) were used to generate an optimal neural classifier (Boniecki et al. 2009, Nowakowski et al. 2009). The best classification properties were found in an RBF (Radial Basis Function) artificial neural network, which ...
2: What are Artificial Neural Networks? Part 1 2:54 3: What are Artificial Neural Networks? Part 2 4:28 4: Hyperparameters 4:43 5: Let’s Build a Neural Network! 5:07 6: Example 1 – Imports 3:17 7: Example 1 – Model Definition 6:21 8: Example 1 – Data Loading ...