000 | 01296nam a2200133Ia 4500 | ||
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008 | 220620s9999||||xx |||||||||||||| ||und|| | ||
020 | _a9783040000000 | ||
245 | 0 | _aComputational Optimizations for Machine Learning | |
546 | _aEnglish[eng] | ||
650 | _aARIMA model||time series analysis||online optimization||online model selection||precipitation nowcasting||deep learning||autoencoders||radar data||generalization error||recurrent neural networks||machine learning||model predictive control||nonlinear systems||neural networks||low power||quantization||CNN architecture||multi-objective optimization||genetic algorithms||evolutionary computation||swarm intelligence||Heating, Ventilation and Air Conditioning (HVAC)||metaheuristics search||bio-inspired algorithms||smart building||soft computing||training||evolution of weights||artificial intelligence||deep neural networks||convolutional neural network||deep compression||DNN||ReLU||floating-point numbers||hardware acceleration||energy dissipation||FLOW-3D||hydraulic jumps||bed roughness||sensitivity analysis||feature selection||evolutionary algorithms||nature inspired algorithms||meta-heuristic optimization||computational intelligence | ||
700 | _aGabbay, Freddy | ||
856 | _uhttps://mdpi.com/books/pdfview/book/5018 | ||
942 | _cEB | ||
999 |
_c29727 _d29727 |