Animal Detection and its Disease Prediction by Neural Network Classifier

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

Fault Detection and Location in DC Microgrids by Recurrent Neural Networks and Decision Tree Classifier

Microgrids have played an important role in distribution networks during recent years.  DC microgrids are very popular among researchers because of their benefits. Protection is one of the significant challenges in the way of microgrids progress. As a result, in this paper, a fault detection and location scheme for DC microgrids is proposed. Due to advances in Artificial Intelligence (AI) and s...

متن کامل

Neural Network as an Ophthalmologic Disease Classifier

In this paper, we explore the neural network as a disease classifier. In our investigation, the sets of parameters describing glaucomatous and healthy eyes are taken. These sets represent the structure of the optical nerve disc which resides in a patient’s eye fundus image. As a separate case, the excavation can be seen in the image as well. These two sets describe the elliptical shape of both ...

متن کامل

Signal Prediction by Layered Feed - Forward Neural Network (RESEARCH NOTE).

In this paper a nonparametric neural network (NN) technique for prediction of future values of a signal based on its past history is presented. This approach bypasses modeling, identification, and parameter estimation phases that are required by conventional parametric techniques. A multi-layer feed forward NN is employed. It develops an internal model of the signal through a training operation...

متن کامل

Early Detection and Prediction of Lung Cancer Survival using Neural Network Classifier

Volume 2, Issue 6, June 2013 Page 375 ABSTRACT The early detection of lung cancer is a challenging problem, due to the structure of the cancer cells, where most of the cells are overlapped with each other. Classification is very important part of digital image analysis. It is a computational procedure that sort images into groups according to their similarities. In this paper Histogram Equaliza...

متن کامل

Prediction of Surface Roughness by Hybrid Artificial Neural Network and Evolutionary Algorithms in End Milling

Machining processes such as end milling are the main steps of production which have major effect on the quality and cost of products. Surface roughness is one of the considerable factors that production managers tend to implement in their decisions. In this study, an artificial neural network is proposed to minimize the surface roughness by tuning the conditions of machining process such as cut...

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: International Journal for Research in Applied Science and Engineering Technology

سال: 2020

ISSN: 2321-9653

DOI: 10.22214/ijraset.2020.5280