Development of New Multi-dimension Squeezed Penetration Piling Machine
نویسندگان
چکیده
The features of a newly developed multi-dimension squeezed penetration piling machine are presented in this paper. The simulation model is built and the squeezing mechanism is tested under simulation environment. With the simulation method key design parameters are predicted at the early design stage; the development cycle can be shortened; and the product quality can be improved.
منابع مشابه
Distance Weighted Discrimination
High Dimension Low Sample Size statistical analysis is becoming increasingly important in a wide range of applied contexts. In such situations, it is seen that the popular Support Vector Machine suffers from “data piling” at the margin, which can diminish generalizability. This leads naturally to the development of Distance Weighted Discrimination, which is based on Second Order Cone Programmin...
متن کاملDistance Weighted Discrimination
High Dimension Low Sample Size statistical analysis is becoming increasingly important in a wide range of applied contexts. In such situations, it is seen that the appealing discrimination method called the Support Vector Machine can be improved. The revealing concept is data piling at the margin. This leads naturally to the development of Distance Weighted Discrimination, which also is bas...
متن کاملA new model for persian multi-part words edition based on statistical machine translation
Multi-part words in English language are hyphenated and hyphen is used to separate different parts. Persian language consists of multi-part words as well. Based on Persian morphology, half-space character is needed to separate parts of multi-part words where in many cases people incorrectly use space character instead of half-space character. This common incorrectly use of space leads to some s...
متن کاملThree New Systematic Approaches for Computing Heffron-Phillips Multi-Machine Model Coefficients (RESEARCH NOTE)
This paper presents three new systematic approaches for computing coefficient matrices of the Heffron-Phillips multi-machine model (K1, …, K6). The amount of computations needed for conventional and three new approaches are compared by counting number of multiplications and divisions. The advantages of new approaches are: (1) their computation burdens are less than 73 percent of that of convent...
متن کاملGeometric Insights into Support Vector Machine Behavior using the KKT Conditions
The Support Vector Machine (SVM) is a powerful and widely used classification algorithm. Its performance is well known to be impacted by a tuning parameter which is frequently selected by cross-validation. This paper uses the Karush-Kuhn-Tucker conditions to provide rigorous mathematical proof for new insights into the behavior of SVM in the large and small tuning parameter regimes. These insig...
متن کامل