Prediction of working conditionsPulse tube coolerArtificial neural networkMachine learningAn artificial neural network (ANN) model is proposed to predict the working conditions for the pulse tube cooler (PTC) in
In this article, we have seen another type of Artificial Neural Network called Recurrent Neural Network; we have focused on the main difference which makes RNN stands out from othertypes of neural networks, the areas where it can be used extensively, such as in speech recognition and NLP(Natur...
network working and a hybrid stochastic optimization H. Tran‑Ngoc1,2, S. Khatir3, T. Le‑Xuan2, H. Tran‑Viet2, G. De Roeck4, T. Bui‑Tien2 & M. Abdel Wahab5* Artificial neural network (ANN) has been commonly used to deal with many problems. ...
The objective of this work is to model an artificial neural network (ANN) to predict the value of specific heat capacity of working fluid LiBr-H2O used in vapour absorption refrigeration systems. A feed forward back propagation algorithm is used for the network, which is most popular for ANN...
TensorFlow is an open-source machine learning platform that has emerged as a major force in the field of artificial intelligence. It was developed by Google and provides an extensive range of tools, libraries, and resources that allow developers to build and implement machine learning models with ...
Farid M (2022) Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and gaussian process regression. Int J Fatigue 155:106415 Article MATH Google Scholar Li X, Ding Q, Sun J-Q (2018) Remaining usef...
Deep Learning:It is a type of ML. DL uses an artificial neural network, which is inspired by the structure of the human brain. Let us now dive into understanding the deep learning framework and how it works. How doesDeep Learning work?
Kumbasar then had an idea to apply artificial intelligence (AI) to help the control systems class. “The origins are a bit selfish,” he says. “At that time, I was the vice dean of faculty and was busy with lots of administrative tasks. Then I also had to teach. One day, I...
Real-time learning capability of neural networks is presented in [6]. There have been some favorable progresses in the identification and control of unknown nonlinear systems using artificial neural networks, which are used to construct inverse dynamic models (inverse system) of original nonlinear syst...
Tesla’s second rendition of Artificial Intelligence Day has been pushed back to September 30, as CEO Elon Musk stated the company may have a working prototype of Optimus, its robot that it unveiled at AI Day #1 last August. “Tesla AI Day pushed to Sept 30, as we may have an Optimus...