Contents & References of Marketing dental services using the neural network of Qazvin city 89-90
List:
List
.
Chapter One: Introduction of Research
1- Introduction..
2
1-1- The main objectives of the project..
4
Chapter Two: Theoretical foundations of research and review of previous studies
2- Introduction..
7
2-1-1 definition of new marketing.
7
2-1-2 different dimensions of marketing.
10
2-1-3 other definitions of marketing.
12
2-1-4 consumer purchase decision process.
14
2-1-5 types of purchase problem solving.
16
2-1-6 effective factors in the purchase decision process.
17
2-1-7 psychological and individual factors. .
20
2-1-8 situational factors..
26
2-1-9 marketing mix factors.
26
2-1-10 creating a comprehensive model to study buyer behavior.
29
2-1-11 main components of marketing.
31
2-1-12 product quality and providing services to customers.
38
2-1-13 the newest realm in marketing.
38
2-1-14 the new concept of quality.
39
2-1-15 inclusive or comprehensive quality management.
40
2-1-16 the new concept of serving Customers.
40
2-1-17 The role of the marketing department in product quality.
41
2-1-18 Participation in quality improvement.
2-1-19 A plan to provide services to customers.
42
43
2-2- Models used.
44
2-2-1- Linear audit analysis (LDA).
2-2-2- Artificial neural networks.
2-2-3- Comparison of classical modeling with neural network modeling.
2-2-4- How the neural cell model works.
2-2-5- How a neural network works.
2-2-6- Learning rate ..
2-2-7- Momentum ..
2-2-8- Training, testing and evaluation of models.
2-2-9- Review of studies Previous.
Chapter three: Introduction of the research
3- Introduction..
3-1- Type of research..
3-2- Research community..
3-3- Sampling method and sample size.
3-4- Data collection method (work method).
3-5- Data analysis method.
3-6- Possibilities and limitations of research.
3-7- Ethical considerations..
3-8- Definition of words..
Chapter Four: Findings
4-1- Factor analysis..
4-2- Cluster analysis..
4-3- Demographic statistics of each of the clusters.
4-4- Cluster grouping.
4-5- Interpreting clusters..
4-6- Audit analysis or diagnosis analysis.
4-7- Non-linear modeling and classification by neural network (ANN).
Chapter five: Discussion and suggestions
5-1- Discussion..
5-2- Suggestions..
Resources
Appendix
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