نتایج جستجو برای: especially when higher forecasting accuracy is needed
تعداد نتایج: 7978375 فیلتر نتایج به سال:
Uncertainty in the capital market means the difference between the expected values and the amounts that actually occur. Designing different analytical and forecasting methods in the capital market is also less likely due to the high amount of this and the need to know future prices with greater certainty or uncertainty. In order to capitalize on the capital market, investors have always sough...
abstract accurate prediction of river flow is one of the most important factors in surface water recourses management especially during floods and drought periods. in fact deriving a proper method for flow forecasting is an important challenge in water resources management and engineering. although, during recent decades, some black box models based on artificial neural networks (ann), have bee...
in this thesis, a structured hierarchical methodology based on petri nets is used to introduce a task model for a soccer goalkeeper robot. in real or robot soccer, goalkeeper is an important element which has a key role and challenging features in the game. goalkeeper aims at defending goal from scoring goals by opponent team, actually to prevent the goal from the opponent player’s attacks. thi...
undesired radiation exposure to caregivers is an important problem in radioiodine therapy in thyroid carcinoma patients, especially when patient is non-ambulatory. special precautions are needed to keep the exposure to caregivers low when higher dose of radioiodine is necessary. here we present a case-report of a 74-year old male patient with papillary thyroid carcinoma with local invasion and ...
This paper surveys recent literature in the area of stock market forecasting using advanced engineering based methods like Neural Network, fractal theory, Data Mining, Hidden Markov Model and Neuro-Fuzzy system. Neural Networks and Neuro-Fuzzy systems are emerging as an effective tool to be used in the forecasting of stock market especially in machine learning techniques. Due to chaotic behavio...
A number of researchers have developed models that use test market data to generate forecasts of a new product’s performance. However, most of these models have ignored the effects of marketing covariates. In this paper we examine what impact these covariates have on a model’s forecasting performance and explore whether their presence enables us to reduce the length of the model calibration per...
To deal with the low accuracy of demand forecasting in supply chain, this paper uses the genetic algorithm to estimate the developing coefficient and the control variable of the GM(1,1) model and predicts the demand of every level in supply chain with this forecasting model, then uses a negotiation algorithm based on game theory to optimize the demand forecast when demand forecast disruption oc...
magnetic resonance imaging (mri) is a notable medical imaging technique that makes of phenomenon of nuclear magnetic resonance. because of the resolution and the technology being harmless, mri has considered as the most desirable imaging technique in clinical applications. the visual quality of mri plays an important role in accuracy of medical delineations that can be seriously degraded by exi...
We present a case study of the development of an adaptive forecasting system for a leading personal computer (PC) manufacturer in South Korea. It is widely accepted that demand forecasting for products with short product life cycles (PLCs) is difficult, and the PLC of a PC is generally very short. The firm has various types of products, and the volatile demand patterns differ by product. Moreov...
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