MINERAL POTENTIAL MAPPING FOR CU DEPOSIT EXPLORATION USING NEURO- FUZZY MODELING: CASE STUDY OF CHAHAR-GONBAD AREA 1:100000 SHEET

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KIANPOURYAN S.; FARAHMANDIAN M.; KARIMI M.; BAHROUDI A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: GEOSCIENCES Year:2015 | Volume:24 | Issue:94 (PETROLOGY & MINERALOGY) Page(s): 277-286

Download Full-Text

Persian Verion

View:

1,397

Download:

Cites:

Information Journal Paper

Title

MINERAL POTENTIAL MAPPING FOR CU DEPOSIT EXPLORATION USING NEURO- FUZZY MODELING: CASE STUDY OF CHAHAR-GONBAD AREA 1:100000 SHEET

Author(s)

KIANPOURYAN S. | FARAHMANDIAN M. | KARIMI M. | BAHROUDI A. | Issue Writer Certificate

Keywords

MINERAL POTENTIAL MAPPINGQ2

NEURO-FUZZY MODELINGQ2

GISQ2

CHAHAR-GONBAD SHEETQ2

Abstract

Considering the existence of many copper deposits in Iran and the importance of their exploration, MINERAL POTENTIAL MAPPING with high accuracy is an important tool. The process of MINERAL POTENTIAL MAPPING is a cumbersome process which can be performed using different methods. The Hybrid Neuro-Fuzzy approach is one of the powerful ones for MINERAL POTENTIAL MAPPING in which both conceptual and empirical components of earth science information are employed, so using both components simultaneously increase the confidence interval. In this paper we were used Adaptive Neuro-Fuzzy Inference System (ANFIS) for MINERAL POTENTIAL MAPPING in Chahar-Gonbad area 1:100000 sheet, Kerman province. The database consists of geology, geochemistry, airborne radiometric, regional faults, ETM+ data, and 22 deposit and occurrence locations. At first, the factor maps were provided in GIS environment in which each cell in the grid data represents a 100 m square on the ground, and then the outputs of this layer were used for training the network. As this technique requires some data for training the network, the occurrence locations were used for training and checking points. Since, the training points were not enough for this procedure, we assigned buffer from 100 to 1000 m for occurrence locations. The results showed that when the buffer is 500 m, the best classification which ANFIS identify about 80% of the known deposits and occurrence locations in high favorability zones.

Cites

No record.

References

No record.

Cite

APA: Copy

KIANPOURYAN, S., FARAHMANDIAN, M., KARIMI, M., & BAHROUDI, A.. (2015). MINERAL POTENTIAL MAPPING FOR CU DEPOSIT EXPLORATION USING NEURO- FUZZY MODELING: CASE STUDY OF CHAHAR-GONBAD AREA 1:100000 SHEET. GEOSCIENCES, 24(94 (PETROLOGY & MINERALOGY)), 277-286. SID. https://sid.ir/paper/31354/en

Vancouver: Copy

KIANPOURYAN S., FARAHMANDIAN M., KARIMI M., BAHROUDI A.. MINERAL POTENTIAL MAPPING FOR CU DEPOSIT EXPLORATION USING NEURO- FUZZY MODELING: CASE STUDY OF CHAHAR-GONBAD AREA 1:100000 SHEET. GEOSCIENCES[Internet]. 2015;24(94 (PETROLOGY & MINERALOGY)):277-286. Available from: https://sid.ir/paper/31354/en

IEEE: Copy

S. KIANPOURYAN, M. FARAHMANDIAN, M. KARIMI, and A. BAHROUDI, “MINERAL POTENTIAL MAPPING FOR CU DEPOSIT EXPLORATION USING NEURO- FUZZY MODELING: CASE STUDY OF CHAHAR-GONBAD AREA 1:100000 SHEET,” GEOSCIENCES, vol. 24, no. 94 (PETROLOGY & MINERALOGY), pp. 277–286, 2015, [Online]. Available: https://sid.ir/paper/31354/en

Related Journal Papers