Adaptive higher-order feedforward neural networks

Keywords

Artificial neural network, Feed forward, Feedforward neural network, Activation function, Computer science

References

• Constructive higher-order network that is polynomial timeN.J. Redding, Adam Kowalczyk, T. Downs — 1993
• Some new results on neural network approximationKurt Hornik — 1993
• Approximation capabilities of multilayer feedforward networksKurt Hornik — 1991
• A unifying framework for invariant pattern recognitionJeffrey J. Wood, John Shawe‐Taylor — 1996
• Multilayer feedforward networks with a nonpolynomial activation function can approximate any functionMoshe Leshno, Valdimir Ya. Lin, Allan Pinkus — 1993
• A feedforward neural network with function shape autotuningChyi‐Tsong Chen, Wei‐Der Chang — 1996
• Approximation and Radial-Basis-Function NetworksJooyoung Park, Irwin W. Sandberg — 1993
• Neural networks with adaptive spline activation functionP. Campolucci, F. Capperelli, S. Guarnieri — 1996
• Approximation by superpositions of a sigmoidal functionGeorge Cybenko — 1989
• High-order and multilayer perceptron initializationGeorg Thimm, Emile Fiesler — 1997
• Remarks on a neural network controller which uses an auto-tuning method for nonlinear functionsTakayuki Yamada, Tetsuro Yabuta — 1992
• High-order neural network structures for identification of dynamical systemsElias B. Kosmatopoulos, Marios M. Polycarpou, M.A. Christodoulou — 1995
• Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural NetworksL. Vecci, Francesco Piazza, Aurelio Uncini — 1998
• Universal approximation bounds for superpositions of a sigmoidal functionAndrew R. Barron — 1993

Cited by

• A new method for classification of ECG arrhythmias using neural network with adaptive activation functionYüksel Özbay, Gülay Tezel — 2010
• Conference on Prognostic Factors and Staging in Cancer Management: Contributions of Artificial Neural Networks and Other Statistical MethodsJudith E. Dayhoff, James M. DeLeo — 2001
• A new approach for epileptic seizure detection using adaptive neural networkGülay Tezel, Yüksel Özbay — 2009
• A New Approach for Classification of EEG SignalsGülay Tezel, Yüksel Özbay — 2007
• Symmetry Induction in Computational IntelligenceMario Ventresca — 2009
• Lake Level Prediction Using Artificial Neural Network with Adaptive Activation Function Gülay TEZELSelcuk Unv — 2013
• Two Frameworks for Improving Gradient-Based Learning AlgorithmsM. Ventresca, H. Tizhoosh — 2008
• A New Neural Network with Adaptive Activation Function for Classification of ECG ArrhythmiasG. Tezel, Yüksel Özbay — 2007
• Evaluation of artificial neural networks for the prediction of pathologic stage in prostate carcinomaMisop Han, Peter B. Snow, Jeffrey M. Brandt — 2001
• Conference on Prognostic Factors and Staging in Cancer Management: Contributions of Artificial Neural Networks and Other Statistical MethodsJames E. Montie, John T. Wei — 2001

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