Marar, João Fernando [UNESP]Carvalho Filho, Edson C. B. [UNESP]Li, WeigangSá, Leonardo D.2014-05-272014-05-271997-12-01Proceedings of SPIE - The International Society for Optical Engineering, v. 3077, p. 690-697.0277-786Xhttp://hdl.handle.net/11449/65283The main purpose of this paper is to investigate theoretically and experimentally the use of family of Polynomial Powers of the Sigmoid (PPS) Function Networks applied in speech signal representation and function approximation. This paper carries out practical investigations in terms of approximation fitness (LSE), time consuming (CPU Time), computational complexity (FLOP) and representation power (Number of Activation Function) for different PPS activation functions. We expected that different activation functions can provide performance variations and further investigations will guide us towards a class of mappings associating the best activation function to solve a class of problems under certain criteria.690-697engComputational complexityFunction evaluationLeast squares approximationsMappingPerformancePolynomialsSignal processingSpeechWavelet transformsActivation functionPolynomial Powers of SigmoidNeural networksTrabalho apresentado em evento10.1117/12.271531WOS:A1997BH60Z00072Acesso aberto2-s2.0-00313829771233049484488761