Multilayer perceptron network with modified sigmoid activation functions

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

Volumn 6319 LNAI, Issue PART 1, 2010, Pages 414-421

  Ebert, Tobias ^a   Bänfer, Oliver ^a   Nelles, Oliver ^a  

^a UNIVERSITY OF SIEGEN   (Germany)

Author keywords

modified activation function; multilayer perceptron network; neural network; nonlinear system identification

Indexed keywords

ACTIVATION FUNCTIONS; CHARACTERISTIC CURVE; COMBUSTION ENGINES; EFFICIENT IMPLEMENTATION; ENGINE CONTROL UNIT; EXPONENTIAL GROWTH; INTAKE MANIFOLD; LOOK UP TABLE; MULTI-LAYER PERCEPTRON NETWORKS; MULTILAYER PERCEPTRON NETWORK; NONLINEAR SYSTEM IDENTIFICATION; SIGMOID ACTIVATION FUNCTION; SIGMOID FUNCTION;

ARTIFICIAL INTELLIGENCE; EXPONENTIAL FUNCTIONS; MICROCONTROLLERS; MULTILAYER NEURAL NETWORKS; MULTILAYERS; NONLINEAR SYSTEMS; TABLE LOOKUP;

MEMBERSHIP FUNCTIONS;

EID: 78649954770     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16530-6_49     Document Type: Conference Paper

References (7)

1. Bänfer, O., Nelles, O., Kainz, J., Beer, J.: Local model networks - the prospective method for modeling in electronic control units? AT Zelektronik 3(6), 36-39 (2008)
2. Bänfer, O., Nelles, O., Kainz, J., Beer, J.: Local Model Networks with Modified Parabolic Membership Functions. In: 2009 International Conference on Artificial Intelligence and Computational Intelligence, pp. 179-183. IEEE, Los Alamitos (2009)
3. Hagan, M.T., Menhaj, M.B.: Training feedforward networks with the Marquardt algorithm. IEEE Transactions on Neural Networks 5(6), 989-993 (1994)
4. Heywood, J.B.: Internal Combustion Engine Fundamentals. McGraw-Hill, Inc., New York (1988)
5. Hornik, K., Stinchcombe, M., White, H.: Multilayer feedforward networks are universal approximators. Neural Networks 2(5), 359-366 (1989) (Pubitemid 20609008)
6. Nelles, O.: Nonlinear System Identification. Springer, Berlin (2001)
7. Nguyen, D., Widrow, B.: Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights. In: Proceedings of the International Joint Conference on Neural Networks, Washington, vol. 3, pp. 21-26 (1990)