The development of a self-assessment system for the learners answers with the use of GPNN

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5288 LNAI, Issue , 2008, Pages 332-340

  Pavlopoulos, John ^a   Vrettaros, John ^a   Vouros, George ^b   Drigas, Athanasios S ^a  

^a INSTITUTE OF NANOSCIENCE AND NANOTECHNOLOGY   (Greece)

^b UNIVERSITY OF THE AEGEAN   (Greece)

Author keywords

Assessment; Genetic programming; Learners; Neural network

Indexed keywords

COMPUTER PROGRAMMING; E-LEARNING; GENETIC ALGORITHMS; IMAGE CLASSIFICATION; INTERNET; MULTIMEDIA SYSTEMS; NEURAL NETWORKS;

ASSESSMENT; ASSESSMENT SYSTEMS; E - LEARNINGS; EDUCATIONAL PROJECTS; LEARNERS; MULTIPLE CHOICE QUESTIONS; REAL DATUMS; TRAINING DATUMS;

GENETIC PROGRAMMING;

EID: 56649102033     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87781-3_37     Document Type: Conference Paper

References (7)

1. Koza, J.R., Rice, J.P.: Genetic generation of both the weights and architecture for a neural network. In: IJCNN 1991-Seattle International Joint Conference on Neural Networks, vol. 2, pp. 397-404 (1991)
2. Koza, J.R.: Survey of genetic algorithms and genetic programming. In: WESCON 1995 Conference: Microelectronics Communications Technology Producing Quality Products Mobile and Portable Power Emerging Technologies, pp. 589-594 (1995)
3. Koza, J.R.: Genetic Programming: A paradigm for genetically breeding populations of computer programs to solve problems. Technical Report STAN-CS-90-1314, Stanford University Computer Science Department (1990)
4. Ritchie, M.D., Motsinger, A.A., Bush, W.S., Coffey, C.S., Moore, J.H.: Genetic Programming neural networks: A powerful bioinformatics tool for human genetics. Applied Soft Computing 7, 471-479 (2007)
5. Ritchie, M.D., White, B.C., Parker, J.S., Hahn, L.W., Moore, J.H.: Optimization of neural network architecture using genetic programming improves detection and modeling of genegene interactions in studies of human diseases. BMC Bioinformatics 4(1), rec.NO 28 (2003)
6. Spears, W.M.: A Study of Crossover Operators in Genetic Programming. In: Ra, Z.W., Zemankova, M. (eds.) ISMIS 1991. LNCS, vol. 542, pp. 409-418. Springer, Heidelberg (1991)
7. Siddique, M.N.H., Tokhi, M.O.: Training Neural Networks: Backpropagation vs. Genetic Algorithms. In: Proceedings of the IEEE International Joint Conference on Neural Networks, vol. 4, pp. 2673-2678 (2001)