[PDF] Top 20 Forecast Share Prices with Artificial Neural Network in Crisis Periods
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Forecast Share Prices with Artificial Neural Network in Crisis Periods
... while crisis period is a big destruction for some, for the others it means big ...opportunities. In this sense, forecasting of the changes in share prices during the crisis ... See full document
13
Forecasting Inflation under Globalization with Artificial Neural Network-Based Thin and Thick Models
... several neural network mod- els to get a one-step-ahead forecast (the real time fore- cast) from these different forecasting ...information in our forecasting models, so we get rid of the ... See full document
6
Forecasting Natural Gas Prices Using Wavelets, Time Series, and Artificial Neural Networks.
... used in other ...daily prices, NASDAQ daily index values, and S&P 500 daily index ...Function Neural Networks (RBFN) to forecast the price of electricity in Spain by treating the ... See full document
23
Modeling and simulation of Polymer Composite laminate bolted Joint
... joints in graphite/epoxy composite laminates was investigated using a parametric finite element analysis by Tserpes et ...under in-plane as well as lateral ... See full document
7
Selection in sugarcane families with artificial neural networks
... m) in one stalk per plant, measuring from the ground to the first leaf of which the section between the leaf blade and sheath was ...ground with a digital caliper, of one stalk per ...separated in ... See full document
7
Forecasting of a Non-Seasonal Tourism Time Series with ANN
... increase in the number of overnight stays which, in 2000, totalled 685 thousand and in 2012 already exceeded 3 million (INECV, ...increase in overnight stays in hotel establishments ... See full document
11
ARTIFICIAL NEURAL NETWORK BASED DISCRIMINATION OF MINELIKE OBJECTS IN INFRARED IMAGES
... The manuscript entitled “ ARTIFICIAL NEURAL NETWORK BASED DISCRIMINATION OF MINE-LIKE OBJECTS IN INFRARED IMAGES ” is removed from our journal as per author instruction.. G.Suganthi et.[r] ... See full document
1
Artificial neural network cascade identifies multi-P450 inhibitors in natural compounds
... an artificial neural network cas- cade (NNC) model composed of 23 cascaded networks in a ladder-like framework to identify potential multi-P450 inhibitors among natural compounds by ... See full document
18
Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China
... for network training was set to ...of network layers, hidden neurons, and stopping ...inputs with the known output and allowing the algorithm to adjust the weight of the connections for different ... See full document
7
Clinics vol.68 número1
... associated with local complications, such as infected pancreatic necrosis, and these patients often present symptoms of sepsis and multiple organ dysfunction syndromes ...physicians in selecting the ... See full document
5
Prediction of Skin Penetration using Artificial Neural Network
... the artificial neural ...trained neural network. In addition, the predictability of the neural network model was compared to the experimental ... See full document
6
Short-Term Load Forecasting Using Artificial Neural Network
... reported in [1] have their own ...methods, artificial neural networks, genetic algorithm, fuzzy logic ...1960s with one of the first studies done by Heinemann et al. in 1966 which dealt ... See full document
6
Arq. NeuroPsiquiatr. vol.66 número2A
... The features which attack NEEs are: (1) conversion classical symptoms, including pharyngeal spasms, digestive disturbances, contractions, body ache and paralysis; (2) sensibility disturbanc- es (anesthesia) and sensory ... See full document
5
DACH1: its role as a classifier of long term good prognosis in luminal breast cancer.
... Contrasting with this, luminal B cancers are high grade, show increased proliferation (Ki67 positive) and growth factor receptors such as EGFR, and have variable HER2 expression ...markers with ... See full document
9
Short Term Electrical Load Forecasting by Artificial Neural Network
... the network output with respect to the ...function in weight space using the method of gradient ...presented in [11] based on a graphical approach in which the algorithm reduces to a ... See full document
4
DESIGN AND ANALOG VLSI IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK
... interacting with noisy data or data from the environment, massive parallelism, fault tolerance, and adapting to ...done in analog domain using neural networks, the main difference between analog and ... See full document
14
Artificial neural network for ecological-economic zoning as a tool for spatial planning
... used in several activities that require the creation of clusters – such as in those for the identification of ecoregions (Soares et ...and in many others, from medical (Souza Neto et ...analyses ... See full document
13
Artificial neural network models: data selection and online adaptation
... consumption in buildings represents about 40% of the total energy consumption, and, with variations from country to country, half of this energy is spent for indoor climate ...and in particular, ... See full document
257
Clinics vol.65 número12
... theorem in prediction theory states that, when more variables describing an event can be measured, the model can predict the outcome more ...accuracy in the classification of keratoconus subjects can be ... See full document
6
Project Work presented as partial requirement for obtaining the Master’s degree in Information Management
... used in customer segmentation (McCarty & Hastak, ...has in each group, making easy the process of assigning a new customer to a specific group (McCarty & Hastak, ...issue in insurance ... See full document
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