تخمین غلظت آهن با استفاده از ماشین برداری پشتیبان و شبکه عصبی مصنوعی- مطالعه موردی، معدن آهن چغارت شمال شرقی یزد، یزد، ایران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشکده معدن و متالوژی، دانشگاه صنعتی امیرکبیر، تهران، ایران

2 دانشکده معدن، دانشگاه بین المللی امام خمینی قزوین، قزوین، ایران.

3 دانشکده معدن، دانشگاه بین المللی امام خمینی قزوین، قزوین، ایران

چکیده

تعیین مقدار ذخایر فلزی یکی از موضوعات بسیار مهم در مطالعات ارزیابی ذخیره برای اکتشاف مواد معدنی دارای صرفه اقتصادی می‌باشد. بنابراین، برای درک مناسب انباشتگی و پیچیدگی‌های مواد معدنی وجود یک تخمین‌گر مناسب و دقیق ضروری به نظر می‌رسد. روش‌های زمین آماری یکی از متداول‌ترین روش‌هایی است که معمولاً برای تخمین و مدل سازی ذخایر فلزی مانند آهن بکار می‌روند که مقادیر و مدل‌های حاصل از آن، دارای پیچیدگی‌ها و مشکلات بسیار زیادی می‌باشد. امروزه با پیدایش روش‌های کاربردی هوش مصنوعی مانند ماشین برداری پشتیبان با توجه به قابلیت تعمیم بالا آن و سادگی در پیش‌بینی و تخمین مدل‌‌سازی می‌توان به عنوان یکی از بهترین و موفق‌ترین روش‌های هوش مصنوعی در تخمین ذخایر معدنی فلزی بکار گرفته شود. ازینرو، در این تحقیق از روش ماشین برداری پشتیبان و شبکه عصبی برگشتی برای تخمین ذخیره آهن در معدن چغارت استفاده گردیده است. مقایسه نتایج بدست آمده برای تعیین غلظت این ذخیره نشان می‌دهد که ماشین برداری پشتیبان نسبت به شبکه عصبی برگشتی سریع‌تر و دقیق‌تر می‌باشد و همچنین مدل‌سازی‌های حاصل از این روش می‌تواند برای ارزیابی و تخمین غلظت ذخایر آهن با خصوصیات مشابه، با دقت قابل قبولی بکار گرفته شود.

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