رکورد قبلیرکورد بعدی

" NON-LEARNING ARTIFICIAL NEURAL NETWORK APPROACH TO REAL- TIME MOTION PLANNING FOR THE PIONEER ROBOTPOMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 153291
Doc. No : ET25083
Main Entry : David Ryan Erickson
Title Proper : NON-LEARNING ARTIFICIAL NEURAL NETWORK APPROACH TO REAL- TIME MOTION PLANNING FOR THE PIONEER ROBOTPOMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The real-time motion planning of mobile robotics is a stumbling block for theexpansion of mobile robotics into more complex fields. The solution of this problem isthe focus of this thesis. This thesis builds upon the work of Dr. Simon Yang.
Subject : Electericl tess
: برق
electronic file name : TL49300.pdf
Title and statement of responsibility and : NON-LEARNING ARTIFICIAL NEURAL NETWORK APPROACH TO REAL- TIME MOTION PLANNING FOR THE PIONEER ROBOTPOMPES PAR TRANSITIONS MULTIPLES [Thesis]
آدرس ثابت

پیوستها
عنوان :
نام فایل :
نوع عام محتوا :
نوع ماده :
فرمت :
سایز :
عرض :
طول :
TL49300.pdf
TL49300.pdf
پایان نامه لاتین
متن
application/octet-stream
5.74 MB
85
85
نظرسنجی