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A novel Neural Network Based Fuzzy Inference System for financial default forecast will be introduced. A wide range of financial forecasts is known. This method is focusing on the economical default forecast, but the method can be used generally for other financial forecasts as well, for example for calculating the Value at Risk. This hybrid method is combined by two classical methods: the artificial...
A seismic event trigger is one of the key features of field seismometers. The classical Short Time Average and Long Time Average ratio (STA/LTA) trigger has been widely used but there are still some limitations. More advanced techniques for seismic event triggers have been proposed; however, they mostly require a rather high level of computational resources. This paper discusses an implementation...
This paper presents Adaptive Neuro-Fuzzy Inference System (ANFIS) based intelligent control of vector controlled induction motor drive. The proposed intelligent control scheme consists of sensorless adaptive neuro-fuzzy speed controller with speed estimation based on adaptive neuro-fuzzy inverse model. The proposed neuro-fuzzy speed controller incorporates fuzzy logic algorithm with a five-layer artificial...
Vehicle Class is an important parameter in road traffic measurement. In this paper authors developed an algorithm to find the accuracy of the system for vehicle classification using different techniques. The algorithm mainly reads the inference system and applies various input samples, check the class of each sample and calculate the accuracy. Initially the classification was done using Type-1 fuzzy...
This paper presents computational intelligence techniques for software cost estimation. We proposed a new recurrent architecture for genetic programming (GP) in the process. Three linear ensembles based on (i) arithmetic mean (ii) geometric mean and (iii) harmonic mean are implemented. We also performed GP based feature selection. The efficacy of these techniques viz multiple linear regression, polynomial...
The past few years have seen a lot of applications of Hybrid Soft Computing approaches that seem to have completely replaced the traditional uni-system approaches. The added abilities that come from the hybrid approaches motivate their use in every system. Bio-Medical Engineering is yet another field which has seen a major change in the past few years. We find various new approaches being applied...
This paper introduces a novel algorithm for features selection based on a Support Vector Decision Function (SVDF) and Forward Selection (FS) approach with a fuzzy inferencing model. In the new algorithm, Fuzzy Enhancing Support Vector Decision Function (Fuzzy ESVDF), features are selected stepwise, one at a time, by using SVDF to evaluate the weight value of each specified candidate feature, then...
A methodology for fast synthesis of analog circuits based on adaptive network fuzzy inference system (ANFIS) and evolutionary optimization is presented in this work. The method is based on establishment of a surrogate nonlinear model which improves the efficiency of computational tasks and also increases the design accuracy. Furthermore, development of an ANFIS coarse model provides further reduction...
A novel methodology is presented for the purpose of modeling complex systems through the utilization of artificial neural networks (ANNs) as linguistic value generators. Complexity is considered as a function of the distinct ways one may interact with a system and the number of separate modes required to describe these interactions. In the present approach ANN's are employed in the framework of the...
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