Testing Artificial Neural Network (ANN) for Spatial Interpolation

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Application of artificial neural network (ANN) for the prediction of water treatment plant influent characteristics

Application of a reliable forecasting model for any water treatment plant (WTP) is essential in order to provide a tool for predicting influent water quality and to form a basis for controlling the operation of the process. This would minimize the operation and analysis costs, and assess the stability of WTP performances. This paper focuses on applying an artificial neural network (ANN) approac...

متن کامل

Artificial Neural Network (ANN) models for PA lifespan

More than 60% of the Dutch motorways are covered with a porous asphalt wearing course (PA). In spite of many advantages of PA its lifespan is mostly short which causes high maintenance costs. Lifespan of PA is defined by its main damage being raveling. The main factors which cause raveling are asphalt construction/mixture and environmental factors. Therefore it is important to determine to what...

متن کامل

Prediction of skin penetration using artificial neural network (ANN) modeling.

Artificial neural network (ANN) analysis was used to predict the skin permeability of selected xenobiotics. Permeability coefficients (log k(p)) were obtained from various literature sources. A previously reported equation, which was shown to be useful in the prediction of skin permeability, uses the partial charges of the penetrants, their molecular weight, and their calculated octanol water p...

متن کامل

artificial neural network (ann) model for ground water quality simulation (case study: kashan aquifer)

kashan aquifer is adjacent to salt lake. because of this adjacency, the saline water of the lake has moved to the aquifer. in this study groundwater quality of the aquifer was simulated using artificial neural network (ann) model. for this purpose, the dominant ion of water was first determined by piper diagram. results showed that the sodium chloride is the dominant ion of water and so it was ...

متن کامل

Short-term Prediction of Tehran Stock Exchange Price Index (TEPIX): Using Artificial Neural Network (ANN)

The main objective of this study is to find out whether an Artificial Neural Network (ANN) will be useful to predict stock market price, which is highly non-linear and uncertain. Specifically, this study will focus on forecasting TSE Price Index (TEPIX) as the most significant index of Iran Stock Market. Many data have been used as inputs to the network. These data are observations of 2000 day...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Geology & Geosciences

سال: 2014

ISSN: 2329-6755

DOI: 10.4172/2329-6755.1000145