Multiport Network Method

2003 ◽  
pp. 121-171
Author(s):  
K. C. Gupta ◽  
Rajan P. Parrikar
Keyword(s):  
Network Method ◽  
Multiport Network

NETWORK METHOD OF EVOLUTION SYNTHESIS OF BEHAVIOR TESTS

2017 ◽  
Vol 25 (101) ◽  
pp. 452-457
Author(s):  
Alexander N., Martynyuk ◽  
◽  
Dmitry Oleksandrovich, Martynyuk ◽  
Anna S., Sugak
Keyword(s):  
Network Method

A FIRST APPROACH TO MODELLING A STEAM GENERATOR BASED ON HEAT EXCHANGERS NETWORK METHOD

2019 ◽  
Author(s):  
Augusto Delavald Marques ◽  
Caroline Mével ◽  
Paulo Smith Schneider ◽  
Jéssica Duarte ◽  
Guilherme Barth Rossi
Keyword(s):  
Steam Generator ◽  
Heat Exchangers ◽  
Network Method

A Resamping Approach for Customer Gender Prediction Based on E-Commerce Data

2017 ◽  
Vol 3 (1) ◽  
pp. 76 ◽  
Author(s):  
Duong Tran Duc ◽  
Pham Bao Son ◽  
Tan Hanh ◽  
Le Truong Thien
Keyword(s):  
Data Mining ◽  
Bayesian Network ◽  
Web Applications ◽  
Service Providers ◽  
Main Idea ◽  
Classification Methods ◽  
Cost Sensitive Learning ◽  
Network Method ◽  
Demographic Attributes ◽  
Privacy Issues

Demographic attributes of customers such as gender, age, etc. provide the important information for e-commerce service providers in marketing, personalization of web applications. However, the online customers often do not provide this kind of information due to the privacy issues and other reasons. In this paper, we proposed a method for predicting the gender of customers based on their catalog viewing data on e-commerce systems, such as the date and time of access, the products viewed, etc. The main idea is that we extract the features from catalog viewing information and employ the classification methods to predict the gender of the viewers. The experiments were conducted on the datasets provided by the PAKDD’15 Data Mining Competition and obtained the promising results with a simple feature design, especially with the Bayesian Network method along with other supporting techniques such as resampling, cost-sensitive learning, boosting etc.

Methods for evaluation the manufacturability of a vehicle

2020 ◽  
pp. 152-160
Keyword(s):  
Neural Network ◽  
Initial Data ◽  
Comparative Data ◽  
Training Algorithm ◽  
Neural Network Method ◽  
The Neural Network ◽  
Network Method ◽  
Calculation Results ◽  
Production And Operation

Methods for evaluation the manufacturability of a vehicle in the field of production and operation based on an energy indicator, expert estimates and usage of a neural network are stated. By using the neural network method the manufacturability of a car in a complex and for individual units is considered. The preparation of the initial data at usage a neural network for predicting the manufacturability of a vehicle is shown; the training algorithm and the architecture for calculating the manufacturability of the main units are given. According to the calculation results, comparative data on the manufacturability vehicles of various brands are given.

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