Feed Forward Neural-NetworkPattern RecognitionPower System ControlIn this era of evolving communications the impact into computer technologies and electronics are everyday lives is inevitable artificial neural-networks commonly referred as the neural-networks are the information based the biological ...
In contrast to this, we propose in this paper two new methods to directly derive accurate results by artificial neural networks using information about the errors of analysis results. One of the proposed methods employs error information obtained using a posteriori error estimator to predict accurate...
With recent improvements in Deep Neural Networks (DNNs) and related methods, application of high-performance ML algorithms has become more automatic and robust to different data scenarios. That has led to the rapid rise of an Artificial Intelligence (AI) that works by combining many ML algorithms...
Predictive performance of "highly complex" artificial neural networks The latter approach is widely employed in combinatorial materials science for "information mining" purposes. Parameters obtained in classical approach should ... A Tompos,JL Margitfalvi,Ern? Tfirst,... - 《Applied Catalysis A Gener...
This text is suitable for use in graduate courses on machine learning. Researchers and students in artificial intelligence, cognitive science, and statistics will find it a useful and informative addition to their libraries. Elements of Machine Learning 2024 pdf epub mobi 电子书 ...
Context. The problem of encoding information of models based on artificial neural networks for further transmission and use of such models is considered. T... SD Leoshchenko,AO Oliinyk,SA Subbotin,... - 《Radio Electronics Computer Science Control》 被引量: 0发表: 2021年 BEM analysis of ...
Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Critical Thinking Courses Overview The goal of this course is to demystify AI The elements of AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with ...
Radial basis function neural networks Artificial neural networks (ANNs), including RBF models, have emerged as superior alternatives to multilinear regression in water quality simulation and prediction. A study by emphasized the capability of ANNs, such as RBFs, to offer valuable insights into the lin...
Artificial Intelligence Courses Machine Learning Courses Neural Networks Courses Critical Thinking Courses Overview The goal of this course is to demystify AI The elements of AI is a free online course for everyone interested in learning what AI is, what is possible (and not possible) with ...
Today the most demanding task of active elements is determining at which instant of time and which data unit the system should process such that the processing corresponds to the priority assigned to individual data units. New network elements can use artificial neural networks for the given ...