A Study on Evolutionary Optimization Method

名古屋大学Nagoya University博士(工学)名古屋大学博士学位論文 学位の種類:博士(工学) (課程) 学位授与年月日:平成9年3月25日doctoral thesi

自動車製品開発のプロセスを応用した構想・設計の学習<数学・自然科学>

This research is to enhance learning of concept and design in teaching of Technology. Technology sufficient time is not secured for conception and design learning as compared to production learning. Therefore, students have not developed the ability to utilize existing knowledge and technology and to function design works corresponding to the purpose of use and conditions of use. Therefore, in this research, we adopted the process of automobile product development and decided to adopt “modeling-based review activities”, “implementing improvement proposals” and “activities to develop improvement proposals”. As a result of practice, I was able to increase the power of design and concept for my students.textapplication/pdfdepartmental bulletin pape

Observation of B+→pp̅π+, B0→pp̅K0, and B+→pp̅K*+

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TOPOLOGICAL-GROUP-VALUED MEASURES

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研究速報 : Numerical Simulation of Fresh Concrete (2) : Verification of Three Dimensional Discrete Element Model for Fresh Concrete

departmental bulletin pape

A Stiffiness Matrix Method for Simulation of Seismic Wave Motions and Their Numerical Examples in Displacemet, Velocity,and Acceleration Near a Strike Slip Fault.

This paper presents a stiffness matrix formulation for simulation of seismic wave motions in frequency wave number domain, using a kinematic fault rupture model and a horizontal layered elastic media as a seismic source and a ground. In this formulation, the seismic source effect on the layered media is represented in terms of three different externaI load representations; the 1st externaI load is given by using "the stiffness matrix of elastic haIf space" and "the displacements & stress due to seismic waves radiated from seismic source in elastic full space", the 2nd extemaI load represented by "the stiffness matrix of elastic half space" and “the free surface wave motions of half space" and the 3rd externaI load represented in terms of "the stiffness matrix of elastic full space" and "the displacements only due to seismic waves radiated from seismic source in elastic full space". The numerical examples of seismic wave motions in displacement velocity, and acceleration on free surface of layered haIf space are presented to show the strong influence of the characteristics of seismic wave motions, and then the recorded seismic wave motions are compared with the simulated motions to demonstrate a capability of the presented method

Performances (precision, recall, f-measure) for different numbers of features

<p><b>Copyright information:</b></p><p>Taken from "Systematic feature evaluation for gene name recognition"</p><p></p><p>BMC Bioinformatics 2005;6(Suppl 1):S9-S9.</p><p>Published online 24 May 2005</p><p>PMCID:PMC1869023.</p><p></p> Starting from the full feature set, recursive feature elimination removes the features with the lowest weight vector and we measure the performance after each round

Average AP scores on the ImageCLEF2010 test data with -norm class-wise optimized.

<p>The class-wise selection of -norm and regularization constant relied on AP scores obtained via cross-validation on the training set.</p

Images of a typical highly ranked cow image and kernel weights from

<p> <b>-MKL (left) and </b><b>-MKL (right).</b></p

Diversity measure between correctly classified samples for all pairs of 32 kernels.

<p>Left: Average over all concept classes. Right: Maximum over all concept classes.</p