[PDF] Top 20 The Cost Forecasting Application in an Enterprise with Artificial Neural Networks
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The Cost Forecasting Application in an Enterprise with Artificial Neural Networks
... When some of 62 data groups were used for training and the rest were used for the test in the application, it was observed that the error rate could be decreased by 3% at the most in 20100 iterations. The firm ... See full document
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Overview of the Artificial Neural Networks and Fuzzy Logic Applications in Operational Hydrological Forecasting Systems
... used neural networks type is the feedforward networ k trained with backpropagation family ...implemented neural network that uses recurrence, ...(RTRL) networks, or Time Delay Neural ... See full document
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Artificial Neural Networks in the Demand Forecasting of a Metal Mechanical Industry
... an application of artificial neural networks in demand forecasting by using MATLAB ...the application of artificial neural networks, a better performance is ... See full document
7
Artificial Neural Network Models Investigation for Euphrates River Forecasting & Back Casting
... flow forecasting model is one of the most important aspects in water resources planning and management , since it can help in providing early warning of river flooding as well as in short term operation of water ... See full document
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Forecasting Inflation Rates Using Artificial Neural Networks
... biological neural networks, they have succeeded in doing certain jobs very well [12], [5] and ...in forecasting the economic and financial time series data using non-parametric ...in neural ... See full document
7
Application of Neural Networks in Forecasting Methods
... of neural networks is very dynamic and vast so that the opportunities for future research exist in many aspects, including data pre-processing and representation, architecture selection, and ...and ... See full document
7
Topological optimisation of artificial neural networks for financial asset forecasting
... better forecasting performance, in more general cases (including the results from robustness test in Section ...the forecasting performance is positively correlated to the testing sample ...its ... See full document
179
Inflation Forecasting in Pakistan using Artificial Neural Networks
... biological nervous systems, such as the brain, process information. 1 The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly ... See full document
19
Monthly runoff forecasting by means of artificial neural networks (ANNs)
... the application of the SSOM model as an alternative to the well-known feed-forward MLP ...the forecasting performance was much worse for the Iranian watershed than for the ...the forecasting results ... See full document
11
FORECASTING OF DAILY NEED PRODUCT USING ARTIFICIAL NEURAL NETWORKS
... (MLP) networks are layered feed-forward networks typically trained with static ...These networks, also known as back propagation networks, are mainly used for applications requiring static ... See full document
8
A Review of Epidemic Forecasting Using Artificial Neural Networks
... of ANN performance, hybrids of ANN are usually used. This study is organized into four sections. Section one provides an introduction to the necessity of making the right choice for epidemic forecast methodology. In ... See full document
12
Flood Forecasting Using Artificial Neural Networks: an Application of Multi-Model Data Fusion technique
... In this model an MLP network with two inputs of discharge at time steps (t-1) and (t-2) were used for training the discharge at time step t. Upon a trial and error procedure the network was designed as (2-2-1) i.e. 2 ... See full document
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Evaluation of Artificial Neural Networks in Foreign Exchange Forecasting
... and forecasting problems. The merits of using artificial neural networks in this study has to do with adaptive learning nature of ANNs that is ability to learn how to perform an operation on ... See full document
8
The Usefulness of Artificial Neural Networks in Forecasting Exchange Rates
... the neural network literature by demonstrating how potent and useful they can be as a tool in the process of economic and financial decision ...Autoregressive Networks (NAR) in comparison to the ARIMA ... See full document
8
Forecasting low cost housing demand in pahang, malaysia using artificial neural networks
... The methodologies of this study are including finding out the significant indicator using Principal Component Analysis (PCA) adapted from SPSS and a Neural Network (NN) model development adopted from NeuroShell2. ... See full document
6
Application of Artificial Neural Networks in Weather Forecasting: A Comprehensive Literature Review
... the forecasting system and back propagation algorithm is used to train the ...rainfall forecasting on monthly basis and they found that the ANFIS model showed higher rainfall forecasting accuracy and ... See full document
13
Study on Pollution Forecasting using 2Phase Neural Network
... Artificial Neural Network for Pollution Forecasting : Forecasting it is intuitive that accuracy is very important ...pollution forecasting model are different different types of data ... See full document
7
Application of Artificial Neural Networks in Civil Engineering
... Neural networks have gained a broad interest in civil engineering ...systems. Application areas in Civil Engineering are e.g. forecasting, water management, controls and decision support ... See full document
8
Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... Crop Cost Prediction (CCP) is to manage large database with maximum ...named Artificial Neural Networks (ANN) with Feed Forward Back Propagation (FFBP) scheme is employed for accurate ...the ... See full document
9
COMPARATIVE ANALYSIS OF THE PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS (ANNs) AND AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) MODELS ON RAINFALL FORECASTING
... practical application. Lee, Sehwan and Jongdae (2007) compared the forecasting performance of ANN and ARIMA models in forecasting Korean Stock Price ...back-propagation neural network (BPNN) ... See full document
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