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http://localhost:8080/xmlui/handle/123456789/147363| Title: | The biology of the first 1000 days |
| Authors: | Kraemer, Klaus J. Green, Tim D. Karakochuk, Crystal C. Whitfield, Kyly |
| Issue Date: | 2018 |
| Publisher: | Taylor & Francis |
| link: | https://library.oapen.org/bitstream/20.500.12657/30632/1/644634.pdf |
| Keywords: | Medicine;short-term load forecasting;weighted k-nearest neighbor (W-K-NN) algorithm;comparative analysis;empirical mode decomposition (EMD);particle swarm optimization (PSO) algorithm;intrinsic mode function (IMF);support vector regression (SVR);short term load forecasting;crude oil price forecasting;time series forecasting;hybrid model;complementary ensemble empirical mode decomposition (CEEMD);sparse Bayesian learning (SBL);multi-step wind speed prediction;Ensemble Empirical Mode Decomposition;Long Short Term Memory;General Regression Neural Network;Brain Storm Optimization;substation project cost forecasting model;feature selection;data inconsistency rate;modified fruit fly optimization algorithm;deep convolutional neural network;multi-objective grey wolf optimizer;long short-term memory;fuzzy time series;LEM2;combination forecasting;wind speed;electrical power load;crude oil prices;time series forecasting;improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN);kernel learning;kernel ridge regression;differential evolution (DE);artificial intelligence techniques;energy forecasting;condition-based maintenance;asset management;renewable energy consumption;Gaussian processes regression;state transition algorithm;five-year project;forecasting;Markov-switching;Markov-switching GARCH;energy futures;commodities;portfolio management;active investment;diversification;institutional investors;energy price hedging;metamodel;ensemble;individual;regression;interpolation |
| ISBN: | 9781498756792 |
| Theme: | 教科書-醫學類 |
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