Key Features:

No of Pages: 37
No of Chapters: 5
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Table of Content:

TABLE OF CONTENT
Title page……………………………………………………………………….………..……….i
Approval page……………………………………………………………….………….……...ii
Dedication…………………………………………………………………..…………….…….iii
Acknowledgement….……………………………………………………..……..…………….iv
Table of content………………………………………………………………………………v-vi

Chapter one
Introduction
1.1 Background study………………………………………………………………………...1
1.2 Statement of the problem ………………………………………………………………..1
1.3 Aim / Object………………………………………………………………………………..2
1.4 Significance of the study……………………………………..……………….…………..2
1.5 Scope of the study…………………………………………………………………………2
1.6 Limitation of the study………………………………………..……………….………….2
1.7 Definition of terms…………………………………………………………………………2
Chapter two
Literature review
2.1 Expert systems…………………………………………………………………..….………….3
2.2Expect systems characteristics……………..…………………………………..….………….3
2.2.1 Domain specificity…………………………………………………………………..……...4
2.2.2 Specials programming languages…………………………………………….…..…….….4
2.3 Expert system structure……………………………………………………..….………….5
2.3.1 the need for expect systems…………………………………….…………..….………….8
2.3.2 Benefits of expect systems……………………………………………………..…………..9
2.3.3 Job opportunities in expert systems…………………………………………..................9
2.3.4 Transition from data processing to knowledge processing………………………10
2.4 Heuristic reasoning …………………………………………………..….…….......…11
2.4.1 Search control methods………………………………………………………………11
2.4.2 Forward chaining …………………………………………………………………….12
2.4.3 Backward chaining…………………………………………………………………...12
2.5 User interface…………………………………………………………………………..12
2.5.1 Natural language………………………………………………………………………12
2.5.2 Explanation facility in expert system……………………………………………..…13
2.5.3 Data uncertainties………………………………………………………………….….13
2.5.4 Application roadmap………………………………………………………………….13
2.5.5 Symbolic processing……………………………………………………………………14
2.6 Solid minerals (distribution in Nigeria)………………………………………………16
2.6.1 Talc………………………………………………………………………………….……18
2.6.2 Iron ore…………………………………………………………………………………..19
2.6.3 Gold………………………………………………………………………………………19
2.6.4 Bitumen………………………………………………………………………………….19
2.6.5 Rock salt………………………………………………………………………………...19
2.6.6 Gypsum…………………………………………………………………………………20
2.6.7 Lead/ zinc………………………………………………………………………………20
2.6.8 Bentonite and barite…………………………………………………………………..20
2.6.9 Coal………………………………………………………………………………….…20
2.6.10 Gemstones………………………………………………………………………….…20
2.6.11 Kaolin ………………………………………………………………………………....21
2.6.12 Tantalite…………………………………………………………………………….…21
2.7 Mineral properties in hand specimen…………………………………………………21
Chapter three
Methodology and system analysis
3.1 Methodology…………………………………………………………………………………22
3.2 Expectation of the proposed system………………………………………………….……22
3.3 System Design……………………………………………………………………………..…23
3.3.1 Main process description for the new system………………………………………..…23
3.3.2 Files (data store) design and description…………………………………………………24
3.4 General system dataflow……………………………………………………………….……24
3.5 Files attributes / database structures……………………………………………..…………24
3.6 Database development tool………………………………………………………………….25
3.7 Data entry design……………………………………………………………………….……26
3.8 Hosting of the database………………………………………………………………….…..26
3.9 Output Design…………………………………………………………………………...……26
3.10 Flowchart of control centre ……………………………………………………..…………27
Chapter four
Results
4.1 welcome Page……………………………………………………………………………..….28
4.2 Knowledge base settings page…………………………………………………...………….29
4.3 Attributes page…………………………………………………………………….…………30
4.4 Certified attributes page…………………………………………………………….………31
Chapter five
Conclusion and recommendation
5.1 Conclusion………………………………………………………………………………..….32
5.2 Recommendation…………………………………………………………………..………..32
References ………………………………………………………………………………………..33

Introduction:

Any successful decision making is strongly dependent upon various capability that includes the effective acquisition storage distribution and sophisticated use of the knowledge of human experts in the filled in the context of computer-aided system for monitoring and information processing these capabilities would be achieved through developing an expert system
Yang and Okrent (1991) had also said that the most successful application of artificial intelligence (AI) or decision making so for is the development of a decision support system (DSS)/ practically expert system, which is a computer program that acts as a consultant’ or advisor’ to decision-makers experts system are cheaper compared to human experts. In the long-term scenario, However, expert systems are relatively costly to develop but easy and cheap to operate in addition expert systems allow automation of many tasks that could not be effectively handled by human experts.