The artificial neural network (ANN) was built to realize the directional preparation of anticoagulant-active polysaccharides. Based on monitoring glucose concentration on-line, a visualization system of enzymatic hydrolysis was developed to simplify the operation of ANN. The model could be further ...
Artificial neural networks (ANNs) are commonly used to solve nonlinear problems. ANNs are composed of parallel interconnected layers that include processing elements called neurons. These neurons use mathematical functions to process the data, mimicking the human brain. In this study, we use ANNs for...
Artificial neural networks (ANN) models were developed to predict the performance of a wastewater treatment plant (WWTP) based on past information. The data used in this work were obtained from a major conventional treatment plant in the Greater Cairo district, Egypt, with an average flow rate ...
A neural architecture for designing truthful and efficient auctions. Preprint at https://arxiv.org/abs/1907.05181 (2019). Weissteiner, J. & Seuken, S. Deep learning-powered iterative combinatorial auctions. In Proc. AAAI Conference on Artificial Intelligence Vol. 34, 2284–2293 (AAAI, 2020)....
ARTIFICIAL neural networksFACTORIAL experiment designsCIPROFLOXACINQUANTITATIVE researchCHEMOMETRICSNew chemometric smart approaches, Artificial Neural Network (ANN) and Continuous Wavelet Transform (CWT), based on UV spectrophotometric data, were proposed for the simultaneous quantitative analys...
In this paper, we examine the use of Artificial Neural Networks (ANNs) for designing an adaptive computer game system. This adaptive computer game system will enhance the game play experience of a player by adopting the concept of player centred game design. In this paper, the ANN is used ...
Design of High-Performance Concrete Mixture Using Neural Networks and Nonlinear Programming A method of optimizing high-performance concrete mix proportioning for a given workability and compressive strength using artificial neural networks and no... IC Yeh - 《Journal of Computing in Civil Engineering》...
In this research artificial neural network is used for that purpose. To enhance its learnability, consistent teaching data based on the virtual window concept are created to ensure optimal steering with the help of nonlinear programming language (NPL) method. Then instead of centralized controller, ...
IMPORTANTIf you are coming for the code of the tutorial titledArtificial Neural Networks Optimization using Genetic Algorithm with Python, then it has been moved to the [Tutorial Project](https://github.com/ahmedfgad/NeuralGenetic/tree/master/TutorialProject) directory on 15 May 2020. ...
Perez, et al., constructed a model using artificial neural networks to infer the attenuation induced by vegetation barriers at 2G/3G/4G cellular bands [5]. Akhtar, et al., Constructed a DRASTIC model using GIS to investigate groundwater vulnerability at Lahore city Pakistan and concluded that ...