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A GA-based feature extraction method was presented for solving non-linear regression questions. The order of regression function is determined by practical experience, so the application of this method is limited. In this paper, the angle measurement method of matrix similarity was used to determine the order of the polynomial space. By doing this, the GA-based feature extraction method became more...
The main character of pipe route arrangement of a ship is to search a feasible path that connects given locations and avoids all obstacles in an engine room environment scattered with equipments and components, at the same time, the selected route should meet special evaluation conditions. Spatial effect is an important factor in the evaluation of pipelines, but is ignored in most existing optimize...
Engine room of a ship is an environment scattered numbers of components. Pipe-routing arrangement should meet various requirement or constraints referring to either properties of individual components or relationships between components. The models of environment and components must be simplified by appropriate method to ensure an accurate and effectual design. An approach was proposed to construct...
The pipe route arrangement in engine room is one of the most complex planning problems. All other activities depended on pipe routing layout result during the detailed design phase of a ship and its quality had a great impact on the whole ship design. The efforts of current research should be directed toward improving the efficiency of traditional AI algorithm. A method for automatic optimization...
In order to obtain an explicit and non-linear regress function, a new feature extraction was presented on the basis of linear support vector regression and genetic algorithm. Firstly, the linear input space in training data was mapped to a polynomial space, which can solve non-linear regression questions without complex and vague kernel skills. Then, a genetic algorithm was used to extract features...
A new association rule algorithm is discussed. It is based on the weighted association rule algorithms of minwal(0) and minwal(w). The new algorithm can effectively mine the association rules which define some attributes as antecedent partial, while others as consequent partial. The new algorithm also can effectively mine the association rules with lower support and high confidence, and these association...
At first, a linear support vector regression feature extraction algorithm was introduced concisely. Then two improvements were presented in order that a simply explicit nonlinear regress function can be gotten easily by SVR feature extraction. One improvement was to decrease the dimensions of input space at the expense of regression function accuracy. Another improvement was to map the linear space...
Pipe-routing arrangement in ship engine room is a complex plan problem. Traditional AI algorithms can only satisfy a few special rules. Free spaces mode is a special method for informationally-complete produce models using in complex mechanical plans. Free spaces models, can reduce the number of constrains associated with pipe-routing arrangement and simplify the complexity of a design. The current...
A new weighted association rule algorithm is discussed. It is based on the mining algorithms of minwal(0) and minwal(w). The new algorithm can effectively mine the association rules which define some attributes as antecedent partial, while others as consequent partial. The new algorithm also can effectively mine the association rules with low support and high confidence, and these association rules...
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