Fog Occurrence Forecast by Using LVQ with a Genetical Preprocessing

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

Using earthquake intensities to forecast earthquake occurrence times

It is well known that earthquakes do not occur randomly in space and time. Foreshocks, aftershocks, precursory activation, and quiescence are just some of the patterns recognized by seismologists. Using the Pattern Informatics technique along with relative intensity analysis, we create a scoring method based on time dependent relative operating characteristic diagrams and show that the occurren...

متن کامل

A Modified Fog Detection Algorithm Developed at the Miami Weather Forecast Office

Limited visibility due to fog poses a significant danger to travelers. Accurate fog forecasts provide travelers with ample time to make preparations for low visibility conditions. Previous to this study, the Miami’s NWS Weather Forecast Office used a combination of factors to forecast fog, mainly moisture and wind speeds derived from forecast and observed soundings. However, a quantitative appr...

متن کامل

Image Segmentation Using Fuzzy Lvq Clustering Networks

In this note we formulate image segmentation as a clustering problem. Feature vectors, extracted from a raw image are clustered into subregions, thereby segmenting the image. A fuzzy generalization of Kohonen learning vector quantization (LVQ) which integrates the Fuzzy cMeans (FCM) model with the learning rate and updating strategies of the LVQ Is used for this task. This network, which segmen...

متن کامل

Experiments with Supervised Fuzzy LVQ

Prototype based classifiers so far can only work with hard labels on the training data. In order to allow for soft labels as input label and answer, we enhanced the original LVQ algorithm. The key idea is adapting the prototypes depending on the similarity of their fuzzy labels to the ones of training samples. In experiments, the performance of the fuzzy LVQ was compared against the original ap...

متن کامل

Simplifying credit scoring rules using LVQ + PSO

Purpose – One of the key elements in the banking industry relies on the appropriate selection of customers. To manage credit risk, banks dedicate special efforts to classify customers according to their risk. The usual decision-making process consists of gathering personal and financial information about the borrower. Processing this information can be time-consuming, and presents some difficul...

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: IEEJ Transactions on Electronics, Information and Systems

سال: 2000

ISSN: 0385-4221,1348-8155

DOI: 10.1541/ieejeiss1987.120.12_2055