The relevant literature on machining operations selection in Computer-Aided Process Planning (CAPP) by decision trees, expert systems and neural networks has been reviewed, highlighting their contributions and shortcomings. This paper aims at contributing to the applicability of back-propagation neural network method for the selection of all possible operations for machining rotationally symmet...

This paper suggests the "lnpUt-NetwOik-Training-0ulput-Extract~~Knowledge" framework to classify existing rule exlraction algorithms for feedloward neural networks. Based on the Suggested framework, we identify the major practices of existing algorithms as relying on the technique Of generate and test, which leads to exponential complexity, relying on specialized network structure and training ...

The surface quality assurance check is an important task in industrial production of wooden parts. There are many automated systems applying different methods for preprocessing and recognition/classification of surface textures, but in the most cases these methods cannot produce very high recognition accuracy. This paper aims to propose a method for effective recognition of similar wooden surfa...

This study deals with predicting nonlinear time history deflection of scallop domes subject to earthquake loading employing neural network technique. Scallop domes have alternate ridged and grooves that radiate from the centre. There are two main types of scallop domes, lattice and continuous, which the latticed type of scallop domes is considered in the present paper. Due to the large number o...

In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the potential applications are numerous. Decision trees tend to give both binary and multiple-class predictions quickly and accurately. The classifier system method does worse due to the small size of the data set and missing...

A class of neural filter for image enhancement is proposed in this paper. The proposed intelligent filter is carried out in two stages. In first stage the corrupted image is filtered by applying two special classes of decision based filters. Filtered image outputs from decision based filters are suitably combined with a Feed forward neural network in the second stage. The internal parameters of...

Background: Contact lenses are transparent, thin plastic disks that cover the surface of the cornea. Appropriate lens prescription should be performed properly by an expert to provide better visual acuity and reduce side effects. The lens administration is a multi-stage, complex and time-consuming process involving many considerations. The purpose of this study was to develop a decision support...

reinforced concrete (rc) slabs exhibit complexities in their structural behavior under load due to the composite nature of the material and the multitude and variety of factors that affect such behavior. current methods for determining the load-deflection behavior of reinforced concrete slabs are limited in scope and are mostly dependable on the results of experimental tests. in this study, an ...