Logit Model based Performance Analysis of an Optimization Algorithm

2011 ◽  
Author(s):  
J. A. Hernández ◽  
J. D. Ospina ◽  
D. Villada ◽  
Theodore E. Simos ◽  
George Psihoyios ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Optimization Algorithm ◽  
Logit Model ◽  
Model Based

PERFORMANCE ANALYSIS OF WRW BACKGROUND MODEL BASED GMM WITH OTHER ALGORITHMS FOR TRACKING HUMANS IN SURVEILLANCE VIDEOS

2018 ◽  
Vol 12 (4) ◽  
pp. 32
Author(s):  
SANTOSH DADI HARIHARA ◽  
KRISHNA MOHAN PILLUTLA GOPALA ◽  
LATHA MAKKENA MADHAVI ◽  
◽  
◽  
...  
Keyword(s):  
Performance Analysis ◽  
Background Model ◽  
Surveillance Videos ◽  
Model Based

Research on SUE DTA Model with Constant Demand Based on Probit Model

2011 ◽  
Vol 374-377 ◽  
pp. 2605-2609
Author(s):  
Lei Shi ◽  
Li Gao
Keyword(s):  
Logit Model ◽  
Existence And Uniqueness ◽  
Probit Model ◽  
The Other ◽  
A Algorithm ◽  
Model Based

Logit model is among the most important model in SUE DTA study. A lot of work have been done based on Logit model. As the other very important SUE DTA model, Probit model has not been the focus of many researcher. This paper presents a SUE model based on Probit model, which aims at building up the Probit model with constant demand. The existence and uniqueness of the model is presented, Finally, a algorithm is given.

Grey Model Based Particle Swarm Optimization Algorithm for Anticorrosion Reliability Design of Underground Pipelines

2010 ◽  
Vol 118-120 ◽  
pp. 541-545
Author(s):  
Qin Ming Liu ◽  
Ming Dong
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Failure Modes ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Grey Model ◽  
Swarm Optimization ◽  
Reliability Design ◽  
Model Based ◽  
Underground Pipelines

This paper explores the grey model based PSO (particle swarm optimization) algorithm for anti-cauterization reliability design of underground pipelines. First, depending on underground pipelines’ corrosion status, failure modes such as leakage and breakage are studied. Then, a grey GM(1,1) model based PSO algorithm is employed to the reliability design of the pipelines. One important advantage of the proposed algorithm is that only fewer data is used for reliability design. Finally, applications are used to illustrate the effectiveness and efficiency of the proposed approach.

Research of Generated Power Forecasting Model Based on the Fusion of Elman NN and ACOA for Photovoltaic System

2013 ◽  
Vol 392 ◽  
pp. 628-631
Author(s):  
Xian Jia Zhao ◽  
Ling Yun Wen ◽  
Han Yu Cai
Keyword(s):  
Neural Networks ◽  
Ant Colony Optimization ◽  
Optimization Algorithm ◽  
Dynamic Performance ◽  
Photovoltaic System ◽  
Forecasting Model ◽  
Ant Colony Optimization Algorithm ◽  
Model Based ◽  
Calculation Ability ◽  
Power Forecasting

A new generated power forecasting model based on the fusion of Elman neural networks (Elman NN) and ant colony optimization algorithm (ACOA) for photovoltaic system are presented in this paper. Elman NN owns stronger dynamic performance and calculation ability. And it can characterize complicated dynamics behavior. ACOA was used to optimize to improve the generalization performance of Elman NN model. The testing results show that new approaches can improve effectively the precision of generated power forecasting.

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