A Neural Network for Tornado Diagnosis
نویسندگان
چکیده
There exist radar-based algorithms designed to detect circulations in the atmosphere. Not all detected circulations, however, are associated with tornados on the ground. Outlined herein, is the development of a multi-layered perceptron designed to classify the two types of circulations-nontornadic and tornadic-based on various attributes of the circulations. Special emphasis is placed on the role of local minima in determining the optimal architecture via bootstrapping.
منابع مشابه
Learning networks for tornado forecasting: a Bayesian perspective
In this paper, different types of learning networks, such as artificial neural networks (ANNs), Bayesian neural networks (BNNs), support vector machines (SVMs) and Bayesian support vector machines (BSVMs) are applied for tornado forecasting. The last two approaches utilize kernel methods to address nonlinearity of the data in the input space. All methods are applied to forecast when tornadoes o...
متن کاملAdaptive Pattern Recognition for Tornado Detection
• Students will learn how to develop a simple three layer neural network consisting of: a two node input layer, a one node output layer, and a hidden layer that connects the two and is governed by the least mean squares (LMS) algorithm. From these principles, Matlab’s neural network toolbox will then be used to design meaningful, large-scale neural networks for realistic weather radar data sena...
متن کاملDesigning an expert system for differential diagnosis of β-Thalassemia minor and Iron-Deficiency anemia using neural network
Introduction: Artificial neural networks are a type of systems that use very complex technologies and non-algorithmic solutions for problem solving. These characteristics make them suitable for various medical applications. This study set out to investigate the application of artificial neural networks for differential diagnosis of thalassemia minor and iron-deficiency anemia. Methods: It is...
متن کاملAN INTELLIGENT FAULT DIAGNOSIS APPROACH FOR GEARS AND BEARINGS BASED ON WAVELET TRANSFORM AS A PREPROCESSOR AND ARTIFICIAL NEURAL NETWORKS
In this paper, a fault diagnosis system based on discrete wavelet transform (DWT) and artificial neural networks (ANNs) is designed to diagnose different types of fault in gears and bearings. DWT is an advanced signal-processing technique for fault detection and identification. Five features of wavelet transform RMS, crest factor, kurtosis, standard deviation and skewness of discrete wavelet co...
متن کاملDiagnosis of Obesity and Hypertension in Isfahani Students Using Artificial Neural Network
Introduction: Obesity and hypertension are community health problems. The objective of this study was to diagnose obesity and hypertension in Isfahani students by artificial neural network. Method: The present study was a diagnostic and predictive one that used the information of 460 students aged 7-18 years old in Isfahan to design a neural network with 11 input variables (age, sex, weight, he...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007