In this paper we propose a dynamic evolving neuro-fuzzy inference system (DENFIS) to forecast mortality. DENFIS is an adaptive intelligent system suitable for dynamic time series prediction. An Evolving Cluster Method (ECM) drives the learning process. The typical fuzzy rules of the neurofuzzy systems are updated during the learning process and adjusted according to the features of the data. Th...

A neural network can approximate a function, but it is impossible to interpret the result in terms of natural language. The fusion of neural networks and fuzzy logic in neurofuzzy models provide learning as well as readability. Control engineers find this useful, because the models can be interpreted and supplemented by process operators.

Information extraction from satellite images is a challenging task. This is because of the associated uncertainty arising out of improper capture and subsequent transfer. Fuzzy systems are suitable for such applications because of the fact that these have the ability to capture minute variations in the patterns presented. Fuzzy systems are expert decision making tools that require support from ...

In a great diversity of knowledge areas, the variables that are involved in the behavior of a complex system, perform normally, a non-linear system. The search of a function that express those behavior, requires techniques as mathematics optimization techniques or others. The new paradigms introduced in the soft computing, as fuzzy logic, neuronal networks, genetics algorithms and the fusion of...

The problem of nonlinear system identification as applied to protein folding problem is discussed in this paper. The mapping of amino acid sequence and the atomic coordinates of the alpha carbon atoms of the amino acids in a protein is typically a nonlinear problem. System identification is performed using adaptive neurofuzzy techniques. Various ANFIS models are created and the model with the l...

Conventional Non Destructive Testing (NDT) techniques for assessing the weld quality are applied after welding is completed. It results in wastage of time, material and manpower. These inherent limitations of the conventional welding processes can be overcome with an automated adaptive welding system to correct the deviation in the welding current and torch speed to provide defect free welds. T...

A text parser was used to calculate the statistical distribution of words within an email body. This information was used by a neurofuzzy system to determine the spam classification of the email. This process of detecting spam in an email was experimentally found to be 90% efficient. This design is exceptionally good as compared to present day filters based on its simplicity and limited scope o...

The hybrid power system (HPS) is an emerging power generation scheme due to the plentiful availability of renewable energy sources. Renewable energy sources are characterized as highly intermittent in nature due to meteorological conditions, while the domestic load also behaves in a quite uncertain manner. In this scenario, to maintain the balance between generation and load, the development of...