This paper presents the challenges encountered in dimensional control of ships, platforms, and offshore units. novel approach utilizes machine learning (MLP—Multilayer Perceptron Neural Network) for three-dimensional (3D) spatial coordinate transformations when only three common points are known. The proposed method was verified based on laboratory field data. main issue to provide a sufficient...

Cell formation problem (CFP) is one of the main problems in cellular manufacturing systems. Minimizing exceptional elements and voids is one of the common objectives in the CFP. The purpose of the present study is to propose a new model for cellular manufacturing systems to group parts and machines in dedicated cells using a part-machine incidence matrix to minimize the voids. After identifying...

Türing’s argument that there can be no machine computing the diagonal on the enumeration of the computable sequences is not a demonstration. As well known, Türing historical article of 1936 is the result of a special endeavor focused around the factuality of a general process for algorithmic computation. As resultant formal model his famous abstract computing machine, soon called Türing machine...

Inspired by the fact that the neural network, as the mainstream method for machine learning, has brought successes in many application areas, here we propose to use this approach for decoding hidden correlation among pseudo-random data and predicting events accordingly. With a simple neural network structure and a typical training procedure, we demonstrate the learning and prediction power of t...