DESIGN OF PATTREN RECOGNIZATION BY NEURAL NETWORKS
Main Article Content
Abstract
The design of a pattern recognition system essentially involves the following three aspects such as data acquisition and preprocessing, data representation, and decision making. The problem domain dictates the choice of sensor(s), preprocessing technique, representation scheme, and the decision-making model. It is generally agreed that a well-defined and sufficiently constrained recognition problem (small intra-class variations and large interclass variations) will lead to a compact pattern representation and a simple decision-making strategy. Learning from a set of examples (training set) is an important and desired attribute of most pattern recognition systems. The four best known approaches for pattern recognition are template matching, statistical classification, syntactic or structural matching, and neural networks. These models are not necessarily independent and sometimes the same pattern recognition method exists with different interpretations. Attempts have been made to design hybrid systems involving multiple models
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
