Artificial Neural Networks Technology
There are many books available in the market on the proposed topic but none of them can be termed as comprehensive. Besides, students face many problems in understanding the language of the books. Keeping these points in mind, artificial neural network Technology was prepared. which should be simple enough to comprehend and comprehensive enough to encompass all the topics of different institutions and universities. Simple & easily understandable language. Includes real world examples to illustrate the concepts, contains latest topics such as downsizing & right sizing, etc, provides numerous illustrations, examples and end-chapter exercises.
- Introduction and Purpose
- What is Artificial Neural Networks
- Application of Artificial Neural Network Classification
- Supervised Learning
- Unsupervised Learning
- Models of Artificial Neural Network
- Network Selection
- How Artificial Neural Networks Are Being Used
- Emerging Technologies
- Software Architecture
- Network-based Application Architecture
- Network-based Architectural Styles
- Designing the Web Architecture: Problems and Insights
- Representational State Transfer (REST)
- Experience and Evaluation
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