|
Meteorology is the interdisciplinary scientific study of the atmosphere. It observes the changes in temperature, air pressure, moisture and wind direction. Usually, temperature, pressure, wind measurements and humidity are the variables that are measured by a thermometer, barometer, anemometer, and hygrometer, respectively. There are many methods of collecting data and Radar, Lidar, satellites are some of them. Weather forecasts are made by collecting quantitative data about the current state of the atmosphere. The main issue arise in this prediction is, it involves high-dimensional characters. To overcome this issue, it is necessary to first analyze and simplify the data before proceeding with other analysis. Some data mining techniques are appropriate in this context. == What is Data mining? == Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to analyze important information in data warehouses. Consequently, data mining consists of more than collecting and analyzing data, it also includes analyze and predictions. The tools which are used for analysis can include statistical models, mathematical algorithms and machine learning methods. These methods include algorithms that improve their performance automatically through experience, such as neural networks or decision trees The network architecture and signal process used to model nervous systems can roughly be divided into three categories, each based on a different philosophy. #Feedforward neural network: the input information defines the initial signals into set of output signals. #Feedback network: the input information defines the initial activity state of a feedback system, and after state transitions, the asymptotic final state is identified as the outcome of the computation. #Neighboring cells in a neural network compete in their activities by means of mutual lateral interactions, and develop adaptively into specific detectors of different signal patterns. In this category, learning is called competitive, unsupervised learning or self-organizing. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Data mining in meteorology」の詳細全文を読む スポンサード リンク
|