Results 51 to 60 of about 72,436 (339)
Forecasting exports and imports through artificial neural network and autoregressive integrated moving average [PDF]
Decision Science Letters, 2019 Nowadays, Saudi government has established several strategic tactics such as Saudi Vision 2030 to predict the future of the country. In order to accomplish a superior growth in the economy of the country, mathematical model and forecasting techniques are
Teg Alam
doaj +1 more source
Application of a Modified Generalized Regression Neural Networks Algorithm in Economics and Finance [PDF]
, 2011 In this paper we propose an alternative and modified Generalized Regression Neural Networks Autoregressive model (GRNN-AR) in S&P 500 and FTSE 100 index returns, as also in Gross domestic product growth rate of Italy, USA and UK. We compare the forecasts
Giovanis, Eleftherios
core
Improving Short-Term Electricity Price Forecasting Using Day-Ahead LMP with ARIMA Models
, 2018 Short-term electricity price forecasting has become important for demand side management and power generation scheduling. Especially as the electricity market becomes more competitive, a more accurate price prediction than the day-ahead locational ...
Miller, Carol +3 more
core +1 more source
Advanced Robotics Research, EarlyView.This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
PENERAPAN MODEL ARFIMA (AUTOREGRESSIVE FRACTIONALLY INTEGRATED MOVING AVERAGE) [PDF]
, 2009 ABSTRAK. Beberapa metode pemodelan time series telah dikembangkan. Metode yang paling umum digunakan adalah ARIMA. ARIMA sangat efektif digunakan untuk memodelkan data yang tidak stasioner, yang ditunjukkan oleh plot ACF yang turun secara eksponensial ...
Liana Kusuma, Kusuma +1 more
core
Forecasting daily patient outflow from a ward having no real-time clinical data
, 2016 OBJECTIVE: Our study investigates different models to forecast the total number of next-day discharges from an open ward having no real-time clinical data.
Gopakumar, Shivapratap +4 more
core +2 more sources
Extracellular Matrix Viscoelasticity Regulates Mammary Branching Morphogenesis
Advanced Science, EarlyView.This study shows that mammary branching morphogenesis is regulated by extracellular matrix (ECM) stress relaxation. Slow stress‐relaxing matrices promote branching through focal adhesion signaling, collagen fiber alignment, and cell contractions, whereas fast stress‐relaxing matrices impair branching and collagen alignment.
Daniella I. Walter +3 more
wiley +1 more source
Forecasting Construction Tender Price Index in Ghana using Autoregressive Integrated Moving Average with Exogenous Variables Model [PDF]
, 2018 Prices of construction resources keep on fluctuating due to unstable economic situations that have been experienced over the years. Clients knowledge of their financial commitments toward their intended project remains the basis for their final decision.
Adjei-Kumi, Theophilus +3 more
core +3 more sources
Advanced Science, EarlyView.Utilizing dual‐site fiber photometry, this study examines cortico‐striatal coupling with cell type resolution, identifying behavior‐ and cell type‐specific cortico striatal decoupling and its dopamine‐dependent mechanism in a Parkinson's disease mouse model.
Xu‐Ran Yao +4 more
wiley +1 more source
Predictive analytics in accounting: Using regression models to forecast financial outcomes
Alexandria Engineering JournalThis study evaluates and optimizes sales prediction forecasting models through traditional time-series algorithms and machine learning algorithms, with a specific focus on dynamic models instead of static. The research analyzes four different forecasting
I. Elbatal +5 more
doaj +1 more source