In the context of an approach for reengineering legacy software systems at the architectural level, we present in this paper a reverse engineering methodology that uses a model defined as a type graph to represent source-code subject to a code categorization process. Two alternative methods for referencing the source code are discussed: native vs. graphical. To represent the code, the native re...

The neural networks have trained on incomplete sets that a doctor could collect. Trained neural networks have correctly classified all the presented instances. The number of intervals entered for encoding the quantitative variables is equal two. The number of features as well as the number of neurons and layers in trained neural networks was minimal. Trained neural networks are adequately repre...

The Kohonen self-organizing feature map (SOM) has several important properties that can be used within the data mining/knowledge discovery and exploratory data analysis process. A key characteristic of the SOM is its topology preserving ability to map a multi-dimensional input into a two dimensional form. This feature is used for classification and clustering of data. However, a great deal of e...

The extraction of easily interpretable knowledge from the large amount of data measured in experiments is well desirable. This paper proposes a method to achieve this. A fuzzy rule system isjirst generated and optimized using evolution strategies. This fuzzy system is then converted to an RBF neural network to reJine the obtained knowledge. In order to extract understandable fuzzy rules from th...

Artificial neural networks have been successfully applied to a variety of business application problems involving classification and regression. Although backpropagation neural networks generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions are not as interpretable as those of decision trees. In many a...

Machine translation (MT) has been used to address inherent problems from human translators. However, the quality of machine translations are usually unacceptable. Researches have focused on improving quality by incorporating machine learning for translation. An example of which is TWiRL which translates English to Filipino sentences. However, TWiRL’s approach presented a strict requirement of a...

Lately, research efforts have been devoted to estimating voltage security margins which show how close the current operating point of a power system is to a voltage collapse point as assessment of voltage security. One main disadvantage of these techniques is that they require large computations, therefore, they are not efficient for on-line use in power control centers. In this paper, we propo...

This paper describes RULEX, a technique for providing an explanation component for Local Cluster (LC) neural networks. RULEX extracts symbolic rules from the weights of a trained LC net. LC nets are a special class of multilayer perceptrons that use sigmoid functions to generate localised functions. LC nets are well suited to both function approximation and discrete classification tasks. The re...

This paper shows how knowledge, in the form of fuzzy rules, can be derived from a. self-organizing supervised learning neural network called fuzzy ARTMAP. Rule extraction proceeds in two stages: pruning removes those recognition nodes whose confidence index falls below a selected threshold; and quantization of continuous learned weights allows the final system state to be translated into a usab...