[PDF] Top 20 Artificial neural network models: data selection and online adaptation

... consumption, and, with variations from country to country, half of this energy is spent for indoor climate ...systems, and in particular, Model Predictive Control (MPC), offer enormous potential for huge ... See full document

... thick models outperforms the naive and best linear mod- ...ANN models that are merely based upon these repeatedly-updated and well-specified linear ...layer, and number of training ... See full document

... Catalonia: Neural networks vs. time series models (Claveria & Torra, 2014), in which time series and artificial neural network (NN) models are used to extract patterns ... See full document

... speciication and patient’s prognostic information ...of neural network methods are as follows: ease of optimization, cost-effective, lexible non-linear modeling of large data sets, accuracy ... See full document

... receptor models techniques that involved varimax factor from principal components analysis (PCA) with two dif- ferent data based on multiple linear regression (MLR) and artificial ... See full document

... requires selection of features that must be tailored separately for each problem ...input and also be limited in number to permit efficient computation of discriminant functions and to limit the ... See full document

... The artificial neural networks (ANN) technologies provide on-line capability to analyze many inputs and provide information to multiple outputs, and have the capability to learn or adapt to ... See full document

... selected models presented in Table 2 and any one of them could be used for the purpose of prediction of ...value, and simultaneously a high (r) (0,696) for the remaining models, at the test ... See full document

... database and an external MySQL ...codebook, and the trained neural ...captured and enrolled the utterances of 40 speakers (students of the university) comprising 25 male speakers and 15 ... See full document

... for online adaptation of an empirical model that was adjusted from data obtained for a system where no variations occur in the dynamic function of time ...on Online Adaptation of FANN ... See full document

... Artificial neural networks are mathematical models inspired by the organization and functioning of biological ...mathematical models as no lengthy iterative calculations are needed to ... See full document

... designed models and Multi-Layer Perceptrons (MLPs) and Support Vector Machines (SVMs) will take place, the main objective of this paper is to analyse the performance of four data ... See full document

... Abstract--Artificial neural network (ANN) has been used for many years in sectors and disciplines like medical science, defence industry, robotics, electronics, economy, forecasts, ... See full document

... an artificial immune system for recognizing stock market trends and predict upward and downward directions of stock ...prediction models, an Artificial Immune System (AIS) and ... See full document

... index and its movement has been considered one of the most challenging applications of time series ...path and it is practically impossible to make a particular long-term global forecasting model based on ... See full document

... proposed neural network. Back-propagation network (BPN) is the best example of a parametric method for training supervised multi-layer perception neural network for ...forward ... See full document

... neural network was created and trained based on the Java Neural Network ...tests and 14 keratoconus examinations) were applied to train the neural network ... See full document

... HMM and DTW has provided the better results followed by MLP and SVM when compared to the other ...test data also, HMM provided 100% accuracy for 11 words out of fifteen words for all the speakers ... See full document

... 25% and, a permeability of 25 mD (Bruhn et ...platform, and, according to Okubo et ...(oolitic and oncolitic grainstones), a moderate-energy environment (oolitic peloidal grainstones and ... See full document

... Younis and Pilakoutas (2013) reported that it is important for concrete to contain coarse porous aggregates to house fine particles, which improves their packaging when filling empty ...dense and beneficial ... See full document