29-01-2013, 02:41 PM
COMPUTERIZED PAPER EVALUATION USING NEURAL NETWORK
COMPUTERIZED PAPER EVALUATION.ppt (Size: 1.74 MB / Downloads: 38)
INTRODUCTION
Foresees the possibility of using adaptive real time learning through computers.
Student is made to feed his answers in a restricted format to the computer to the questions.
Answers are evaluated instantaneously.
This is accomplished by connecting the computers to a knowledge server.
This server has actually connections to various authenticated servers (encyclopedias) that contain valid information about all the subjects.
The exam is adaptive in manner.
CONVENTIONAL EVALUATION SYSTEM
Involves the students writing their answers for the questions asked, in sheets of paper.
The evaluator uses the key to correct the paper and the marks are awarded to the students based on the key.
PROPOSED SYSTEM
Overview of proposed system
Basis
Software
Basics Of Neural Network
Basic Structure
Organization Of The Reference Sites
Requirement Of A New Grammar
Question Pattern & Answering
Basics of Neural Network
It is an information processing model that is inspired by the way biological nervous systems, such as the brain, process information.
The key element of this model is the novel structure of the information processing system.
An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process.