Pattern recognition Using Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Pattern recognition using multilayer neural-genetic algorithm
The genetic algorithm implemented with neural network to determine automatically the suitable network architecture and the set of parameters from a restricted region of space. The multilayer neural-genetic algorithm was applied in image processing for pattern recognition, and to determine the object orientation. The library to cover the views of object was build from real images of (10× 10) pix...
متن کاملPattern Recognition via Vasconcelos' Genetic Algorithm
In this paper we describe a heuristic approach to the problem of identifying a pattern embedded within a figure from a predefined set of patterns via the utilization of a genetic algorithm (GA). By applying this GA we are able to recognize a set of simple figures independently of scale, translation and rotation. We discuss the fact that this GA is, purportedly, the best among a set of alternati...
متن کاملpattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)
فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...
15 صفحه اولLocation Independent Pattern Recognition using Genetic Programming
This paper describes an application of genetic programming. Programs able of recognizing a pattern independent of its location are evolved. Usually the evolution of programs is controlled primarily by the tness evaluation function. This paper demonstrates how genetic programming can be encouraged to evolve programs with properties not being explicitly considered in the tness measure like locati...
متن کاملA Genetic Algorithm Approach For Pattern Recognition In Biomedical Signals
This article deals with the problem of on-line wave detection in non-stationary signals, through a polynomial approximation based on genetics algorithms. This approximation is estimated by minimising a nonlinear error function, described by the circle equation. We apply this approach to detect sleep spindle waveforms in electroencephalograms (EEG) and R wave and ectopics beats in electrocardiog...
متن کاملذخیره 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 of Computer and Electrical Engineering
سال: 2010
ISSN: 1793-8163
DOI: 10.7763/ijcee.2010.v2.196