[PDF] Top 20 Neuro-fuzzy modeling in bankruptcy prediction

... of bankruptcy prediction had been thoroughly ...Altman in 1968 to the recent papers in the '90s, the progress of prediction accuracy was not ...alternative modeling of the system ... See full document

... radiologists in detection and diagnosing breast ...a fuzzy-neural system that classifies the mammogram calcification region of interest as benign or ...the Modeling and Implementation of a Virtual ... See full document

... and fuzzy Logic is expected to overcome the limitation due to the ability in mapping the nonlinear and multiple input-output data ...of neuro-fuzzy systems is that of the Adaptive Neuro ... See full document

... adaptive neuro-fuzzy inference system (ANFIS) for prediction of the partition coeficient K in food/ packaging ...and prediction. ANFIS as a new modeling technique was applied for ... See full document

... structures in rock is the correct prediction of the behavior of the rock ...discontinuities. In general, the shear behavior of unfilled rock joints is influenced by their boundary conditions (CNL and ... See full document

... income in all levels of the production ...herds in 2014, the one that showed the highest growth in the comparison with 2013, registering an increase of ... See full document

... existing prediction approaches. Rough set and fuzzy set theories as proposed by Pawlak and Zadeh have become an effective tool for handling vagueness and fuzziness in the real world ...support ... See full document

... and Fuzzy Logic; both approaches belong to the large class called structures of nonlinear systems that has some properties of extreme importance on knowledge a priori of a control ...stored in the network, ... See full document

... output prediction, its states and parameters evolution during identification process, then will be presented proposed controller ...approach in order to find an acceptable initial solution will be con- ... See full document

... one in the area of biomedical engineering in the diagnosis of inguinal hernias using fuzzy logic and another in the area of agriculture to estimate the wheat productivity using an adaptive ... See full document

... needed in order to prevent accidents. However, due to the subjectivity in the assessment, there may be uncertainty as to the seriousness of the ...risk. In order to address this, the present work ... See full document

... attitude in other disciplines of ...Joniau in [ 5] argues that the data used for devising the nomograms are subjective and, to a certain extent, biased by institutional protocols on which patients are ... See full document

... ANFIS modeling process starts by obtaining a data set (input-output data) and dividing it into training, testing and checking data ...normalized in order to make it suitable for the training ...ANFIS. ... See full document

... Researchers have been working on iden- tifying risk factors and creating ways of pre- dicting poor outcomes in perinatal medicine for a long time (4-7). Some important initia- tives were directed at assessment of ... See full document

... a bankruptcy reform on a poorly developed credit market. In early 2005, the Brazilian Congress approved a new bankruptcy ...the bankruptcy reform on contractual and non-contractual debt ... See full document

... temperature in distributed heating ...discrepancies in the data can be the measurement errors due to reading and ...applied in ANFIS based ... See full document

... structures. Fuzzy logic based controllers are simple and robust systems that are rapidly becoming a viable alternative for classical ...applications. In this paper, we design a semi-active fuzzy ... See full document

... network in the transmission line at 15 sec & is cleared after 200 ms ...shown in Fig 9(a) & Fig ...shown in Fig 10 (a) & Fig 10 (b) ...shown in Fig11 (a) & Fig 11 (b) and rotor ... See full document

... Para este trabalho, na representação do modelo fuzzy, basta encontrar um individuo cujos valores de seu cromossomo seja ótimo para o controle eficiente da planta. Neste caso, a abordagem cromossômica utilizada é ... See full document

... the fuzzy-logic control algorithm for APF, two inputs: 1) the voltage error (reference voltage minus actual capacitive voltage, e), 2) the change of capacitive voltage (previous error minus current error; ce) were ... See full document