"Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores" - Information and Links:

Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores - Info and Reading Options


“Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores” Metadata:

  • Title: ➤  Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores
  • Author: ➤  

“Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores” Subjects and Themes:

Edition Identifiers:

  • Internet Archive ID: ➤  10.11591ijece.v12i4.pp4352-4363

AI-generated Review of “Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores”:


"Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores" Description:

The Internet Archive:

While processing polymetallic ores at the non-ferrous metallurgy problems arises connecting with the excellence of production and the efficient applying the technological devices-firing furnace and crusher machine. In earlier time, similar questions were solved due to the big practice experiences and using a mathematical modeling method. The mathematical model for optimizing those operating mode is a very complex and hard to calculation. Performing computations is needed too much time and many resources. Because the control of the agglomeration furnaces and other machines are including complex multiparameter processes. The method of the math modeling for optimization the operating mode to the firing furnace is replaced with modeling based on the neural network that is here a new method. The results obtained have shown that proposed methods based on the neural network modeling of metallurgical processes allow determining more accurate and adequate results of calculations than mathematical modeling by the traditional program. The use of new approaches for modeling the technological processes at the non-ferrous metallurgy gives opportunity to enhance an effectiveness of production excellence and to enhance an efficient applying the heat-energy equipment while a firing the sulfide polymetallic ores of non-ferrous metallurgy.

Read “Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores”:

Read “Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores” by choosing from the options below.

Available Downloads for “Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores”:

"Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 12.11 Mbs, and the file-s went public at Thu Sep 29 2022.

Legal and Safety Notes

Copyright Disclaimer and Liability Limitation:

A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.

B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.

C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.

D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.

E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.

Virus Scanning for Your Peace of Mind:

The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:

How to scan a direct download link for viruses:

  • 1- Copy the direct link to the file you want to download (don’t open it yet).
    • (a free online tool) and paste the direct link into the provided field to start the scan.
  • 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
  • 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
  • 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.

Available Downloads

  • Source: Internet Archive
  • Internet Archive Link: Archive.org page
  • All Files are Available: Yes
  • Number of Files: 15
  • Number of Available Files: 15
  • Added Date: 2022-09-29 07:15:30
  • Scanner: Internet Archive HTML5 Uploader 1.7.0
  • PPI (Pixels Per Inch): 300
  • OCR: tesseract 5.2.0-1-gc42a
  • OCR Detected Language: en

Available Files:

1- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: 10.11591ijece.v12i4.pp4352-4363_files.xml
  • Direct Link: Click here

2- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: 10.11591ijece.v12i4.pp4352-4363_meta.sqlite
  • Direct Link: Click here

3- Metadata

  • File origin: original
  • File Format: Metadata
  • File Size: 0.00 Mbs
  • File Name: 10.11591ijece.v12i4.pp4352-4363_meta.xml
  • Direct Link: Click here

4- Text PDF

  • File origin: original
  • File Format: Text PDF
  • File Size: 0.00 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N.pdf
  • Direct Link: Click here

5- Item Tile

  • File origin: original
  • File Format: Item Tile
  • File Size: 0.00 Mbs
  • File Name: __ia_thumb.jpg
  • Direct Link: Click here

6- chOCR

  • File origin: derivative
  • File Format: chOCR
  • File Size: 0.00 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N_chocr.html.gz
  • Direct Link: Click here

7- DjVuTXT

  • File origin: derivative
  • File Format: DjVuTXT
  • File Size: 0.00 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N_djvu.txt
  • Direct Link: Click here

8- Djvu XML

  • File origin: derivative
  • File Format: Djvu XML
  • File Size: 0.00 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N_djvu.xml
  • Direct Link: Click here

9- hOCR

  • File origin: derivative
  • File Format: hOCR
  • File Size: 0.00 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N_hocr.html
  • Direct Link: Click here

10- OCR Page Index

  • File origin: derivative
  • File Format: OCR Page Index
  • File Size: 0.00 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N_hocr_pageindex.json.gz
  • Direct Link: Click here

11- OCR Search Text

  • File origin: derivative
  • File Format: OCR Search Text
  • File Size: 0.00 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N_hocr_searchtext.txt.gz
  • Direct Link: Click here

12- Single Page Processed JP2 ZIP

  • File origin: derivative
  • File Format: Single Page Processed JP2 ZIP
  • File Size: 0.01 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N_jp2.zip
  • Direct Link: Click here

13- Page Numbers JSON

  • File origin: derivative
  • File Format: Page Numbers JSON
  • File Size: 0.00 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N_page_numbers.json
  • Direct Link: Click here

14- Scandata

  • File origin: derivative
  • File Format: Scandata
  • File Size: 0.00 Mbs
  • File Name: 100 1570737277 26822 ESr 30dec 29jun N_scandata.xml
  • Direct Link: Click here

15- Archive BitTorrent

  • File origin: metadata
  • File Format: Archive BitTorrent
  • File Size: 0.00 Mbs
  • File Name: 10.11591ijece.v12i4.pp4352-4363_archive.torrent
  • Direct Link: Click here

Search for “Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores” in Libraries Near You:

Read or borrow “Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores” from your local library.

Buy “Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores” online:

Shop for “Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores” on popular online marketplaces.



Find "Neural Network Modeling Of Agglomeration Firing Process For Polymetallic Ores" in Wikipdedia