توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Designing a Recommender System in Zoo using Neural Network
اطلاعات انتشار: اولین کنفرانس بین المللی اقتصاد، مدیریت، حسابداری و علوم اجتماعی، سال
تعداد صفحات: ۷
Big zoos of big cities of the world are considered as the centers for zoology by many researches. In addition they are considered as aplace for attracting tourists. The goal of this research is to help those who are in charge of appropriate transfer of new animals intothe zoo. In order to find the most suitable place for a new animal in the zoo, they are first classified into different groups based ontheir features. Then Euclidian distance between their features is used to find out the best location. The experiments indicate thatusing this method can result in finding appropriate location for animals with a recognition rate equal to %96.2.<\div>
نمایش نتایج ۱ تا ۱ از میان ۱ نتیجه