Add to ORKGAbstract—A pattern recognition system refers to a system deployed for the classification of data patterns and categoriz-ing them into predefined set of classes. Various methods used for recognizing the patterns are studied under this paper. The objective of this paper is to study the various techniques for recognizing the complex patterns, identify and imple-ment the best suitable technique with its merits over the other techniques and analyze the result in order to achieve the accuracy in the designed system
Abstract: This paper aims that analysing neural network method in pattern recognition. A neural netw...
Aim of the research was to prove that backpropagation method could be implemented for image recognit...
This thesis is focused on neural networks and their classification capability in object recognition ...
This paper gives a prototype recognizer that uses rough reduction module to find the optimal represe...
Proposes a neural network based invariant character recognition system using double backpropagation ...
The corners and the middle points, which are extracted as features from the line approximation of a ...
The corners and the middle points, which are extracted as features from the line approximation of a ...
Abstract – Pattern Recognition has attracted the attention of researchers in last few decades as a m...
Pattern recognition systems play a role in applications as diverse as speech recognition, optical ch...
Abstract: A neural network is a processing device, in which its design is inspired by the design and...
Letter Recognition using Backpropagation Algorithm is an application to analyze the letter data and...
This paper presents the backpropagation algorithm based on an extended network approach in which the...
In this paper, we review some pattern recognition schemes published in recent years. After giving th...
Up until the recent past, the power of multi layer feed forward artificial neural networks has been ...
Abstract: This paper aims that analysing neural network method in pattern recognition. A neural netw...
Abstract: This paper aims that analysing neural network method in pattern recognition. A neural netw...
Aim of the research was to prove that backpropagation method could be implemented for image recognit...
This thesis is focused on neural networks and their classification capability in object recognition ...
This paper gives a prototype recognizer that uses rough reduction module to find the optimal represe...
Proposes a neural network based invariant character recognition system using double backpropagation ...
The corners and the middle points, which are extracted as features from the line approximation of a ...
The corners and the middle points, which are extracted as features from the line approximation of a ...
Abstract – Pattern Recognition has attracted the attention of researchers in last few decades as a m...
Pattern recognition systems play a role in applications as diverse as speech recognition, optical ch...
Abstract: A neural network is a processing device, in which its design is inspired by the design and...
Letter Recognition using Backpropagation Algorithm is an application to analyze the letter data and...
This paper presents the backpropagation algorithm based on an extended network approach in which the...
In this paper, we review some pattern recognition schemes published in recent years. After giving th...
Up until the recent past, the power of multi layer feed forward artificial neural networks has been ...
Abstract: This paper aims that analysing neural network method in pattern recognition. A neural netw...
Abstract: This paper aims that analysing neural network method in pattern recognition. A neural netw...
Aim of the research was to prove that backpropagation method could be implemented for image recognit...
This thesis is focused on neural networks and their classification capability in object recognition ...