ABSTRACT
Neural networks have emerged as a field of study within AI and engineering via the collaborative efforts of engineers, physicists, mathematicians, computer scientists, and neuroscientists. Although the strands of research are many, there is a basic underlying focus on pattern recognition and pattern generation, embedded within an overall focus on network architectures. Many neural network methods can be viewed as generalizations of classical pattern-oriented techniques in statistics and the engineering areas of signal processing, system identification, optimization, and control theory. There are also ties to parallel processing, VLSI design, and numerical analysis.
A neural network is first and foremost a graph, with patterns represented in terms of numerical values attached to the nodes of the graph and transformations between patterns achieved via simple message-passing algorithms. Certain of the nodes in the graph are generally distinguished as being input nodes or output nodes, and the graph as a whole can be viewed as a representation of a multivariate function linking inputs to outputs. Numerical values (weights) are attached to the links of the graph, parameterizing the input/output function and allowing it to be adjusted via a learning algorithm.
TABLE OF CONTENTS
TITLE PAGE
CERTIFICATION PAGE
DEDICATION
ACKNOWLEDGEMENTS
ABSTRACT
TABLE OF CONTENTS
CHAPTER ONE
1.0INTRODUCTION
1.1STATEMENT OF PROBLEM
1.2PURPOSE OF THE STUDY
1.3IMPORTANCE OF THE STUDY
1.4DEFINITION OF TERMS
1.5ASSUMPTION OF THE STUDY
CHAPTER TWO
2.0LITERATURE REVIEW
2.1THE BRAIN NEURAL NETWORKS AND THE COMPUTER
CHAPTER THREE
3.0APPLICATIONS OF NATURAL AND OF ARTIFICIAL NEURAL NETWORKS
3.2TYPES OF MODELS OF NEUROLOGY
CHAPTER FOUR
4.0ARCHITECTURE OF NEUROLOGY
CHAPTER FIVE: CONCLUSION
5.1 LIMITATIONS OF THE STUDY
5.2 SUGGESTIONS FOR FURTHER RESEARCH
REFERENCES
Disclaimer: Note this academic material is intended as a guide for your academic research work. Do not copy word for word. Note: For Computer or Programming related works, some works might not contain source codes
CITE THIS WORK
(2012, 11). Industrial Application Using Neural Networks.. ProjectStoc.com. Retrieved 11, 2012, from https://projectstoc.com/read/280/industrial-application-using-neural-networks
"Industrial Application Using Neural Networks." ProjectStoc.com. 11 2012. 2012. 11 2012 <https://projectstoc.com/read/280/industrial-application-using-neural-networks>.
"Industrial Application Using Neural Networks.." ProjectStoc.com. ProjectStoc.com, 11 2012. Web. 11 2012. <https://projectstoc.com/read/280/industrial-application-using-neural-networks>.
"Industrial Application Using Neural Networks.." ProjectStoc.com. 11, 2012. Accessed 11, 2012. https://projectstoc.com/read/280/industrial-application-using-neural-networks.
- Related Works
- Design And Implementation Of A Computerised Rural Electrification Information System For A Local Government Authority (lga) (a Case Study Of Enugu South L.g.a)
- Design And Implementation Of A Computerised Registration System For Universal Basic Education (a Case Study Of Delta State)
- Design And Implementation Of A Web-based Legal Practitioner Application System
- Design And Implementation Of A Computerized Farm Management Information System (a Case Study Of A Piggry Farm)
- Face Recognition Technology
- Design And Implementation Of A Computer Based Loan Scheme Management System (a Case Study Of Harvard Trust Bank Enugu)
- Design And Implementation Of A Computer Based Identity-card Processing System (a Case Study Of Imt Enugu)
- Design And Implementation Of A Digital Library System
- Design And Implementation Of A Computerised Market Information System (a Case Study Of 9th Mile Corner Ngwo)
- The Design And Implementation Of Civil Service Promotion Scheme System. (a Case Study Of Local Government Service Commission Enugu)