Titlebook: Engineering Applications of Neural Networks; 23rd International C Lazaros Iliadis,Chrisina Jayne,Elias Pimenidis Conference proceedings 202

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Die Organisation eines Task Force Projektes,uate machine learning classifiers based on Artificial Neural Networks (ANNs), Support Vector Machine (SVM), Random Forest (RF) and .-nearest neighbors (.-NN) algorithms. The results suggest that the proposed approach could be applicable for areas such as e-commerce and the service industry, and it provides a contribution to NLP audio research.

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Baburam Upadhaya,N. P. Sudharshanaitional approaches where activity duration forecasting is treated as a regression task. Our results suggest that posing the forecasting problem as a classification task with carefully designed classes is crucial for high quality forecasts both at an activity and a project levels.

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Die Finanzrechner von Texas InstrumentsS against GA, ACS and Particle Swarm Optimization (PSO) initialized with random population. The results showed that, as the number of cars and target locations increase, the hybrid approaches outperform GA, ACS and PSO without any pre-processing.

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