Giuseppe Ciaburro Balaji Venkateswaran创作的计算机网络小说《Neural Networks with R》,已更新章,最新章节:undefined。ThisbookisintendedforanyonewhohasastatisticalbackgroundwithknowledgeinRandwantstoworkwithneuralnetworkstogetbetterresult…
Wind energy has been one of the most widely used forms of energy since ancient times, with it being a widespread type of clean energy, which is available in mechanical form and can be efficiently transformed into electricity. However, wind turbines can be associated with concerns around noise ...
Regression Analysis with R Mr. Giuseppe Ciaburro | Manoj Kumar | Shaikh Salamatullah | Pierre Paquay Jan, 2018 | 422 pages Neural Network Programming with Java, Second Edition Mr. Fabio M. Soares | Prof. Alan M. F. Souza Mar, 2017 | 270 pages Hands-On Reinforcement Learning with R...
Using neural networks to detect wind turbine functioning conditionsdoi:10.5875/AUSMT.V10I1.2225Gino IannaceGiuseppe CiaburroAmelia Trematerra
The neural network model showed good Pearson correlation coefficient values (0.894) which can be used with good accuracy to predict the sound absorption coefficient.doi:10.1016/j.jksues.2020.07.002Giuseppe CiaburroGino IannaceMohamed AliAbdullah Alabdulkarem...
The neural network-based model showed high Pearson correlation coefficient values (0.942), indicating many correct predictions. Taking into account the bell shaped acoustic response of the studied blankets as a function of frequency, the possibility to foresee the needed mass with the neural network-...
With this purpose, an artificial neural network (ANN) was developed, and the relative importance of the input variables was evaluated. The collected database was also analysed by multiple linear regression (MLR) to compare the outcomes of both models. The urban waterfront of Naples (Italy) was...
Deep neural networkAcoustic measurementsThe use of broom to produce fibers has ancient roots. The Greeks appreciated its resistance to water and for this reason they used it to manufacture sailing ropes. But broom fiber was also appreciated for its sound absorption qualities. In this study, a ...
Ciaburro, G.; Venkateswaran, B. Neural Networks with R: SMART Models Using CNN, RNN, Deep Learning, and Artificial Intelligence Principles; Packt Publishing Ltd.: Birmingham, UK, 2017. [Google Scholar] Nwankpa, C.; Ijomah, W.; Gachagan, A.; Marshall, S. Activation functions: Comparison...
2.3. Artificial Neural Network (ANN) Based Modelling Machine learning (ML) is a subfield of artificial intelligence that deals with creating systems that learn based on the data [44]. These systems train the model to correct errors so that it learns to perform a task or activity autonomously....