Computation of optimal switching patterns for voltage-controlled inverters using neural-network software

2003 ◽  
Author(s):  
A.M. Trzynadlowski ◽  
C. Gang
Keyword(s):  
Neural Network ◽  
Optimal Switching ◽  
Switching Patterns ◽  
Network Software

How Well Can Radiologists Using Neural Network Software Diagnose Pulmonary Embolism?

2000 ◽  
Vol 175 (2) ◽  
pp. 399-405 ◽  
Author(s):  
James A. Scott ◽  
Edwin L. Palmer ◽  
Alan J. Fischman
Keyword(s):  
Neural Network ◽  
Pulmonary Embolism ◽  
Network Software

Validation and Recovery of Vibration Data in Electromachine Systems Using Neural Network Software

1994 ◽  
Vol 30 (6) ◽  
pp. 1588 ◽  
Author(s):  
M. Karam ◽  
M. Gassemzadeh ◽  
Ningda Dai ◽  
M. Gandikota ◽  
A.M. Trynadlowski
Keyword(s):  
Neural Network ◽  
Vibration Data ◽  
Network Software

Dynamically Optimal Switching Patterns for PWM Inverter Drives (for Minimization of the Torque and Speed Ripples)

1985 ◽  
Vol IA-21 (4) ◽  
pp. 975-986 ◽  
Author(s):  
Franz C. Zach ◽  
Roberto Martinez ◽  
Siegfried Keplinger ◽  
Albert Seiser
Keyword(s):  
Optimal Switching ◽  
Pwm Inverter ◽  
Switching Patterns

scholarly journals DESIGN OF ARTIFICIAL NEURAL NETWORK SOFTWARE FOR PREDICTING THE HEALTH GRADE IN A TELEPHONE EXCHANGE

SAINTEKBU ◽  
2016 ◽  
Vol 1 (1) ◽  
Author(s):  
Wiratmoko Yuwono ◽  
Yodik Iwan Herlambang ◽  
Mauridhi Hery Purnomo ◽  
Prima Kristalina
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Back Propagation ◽  
Back Propagation Algorithm ◽  
Telephone Exchange ◽  
Propagation Algorithm ◽  
Artificial Neural ◽  
Network Software

Application of artificial neural network software ( ANN ) has been implemented forpredicting many thing and replace the conventional ways of predicting method using linearregression. Back Propagation algorithm can be used to reach the result of the program thatcan predict the telephone exchange health grade according to the data that has beenrecorded before. By predicting each parameter that has correlation to the telephoneexchange health grade, we can predict the telephone exchange health grade in the nextperiod.Kata kunci : jaringan syaraf tiruan, propagasi balik, nilai kesehatan sentral.

Overview of Multi-Factor Prediction Using Deep Neural Networks, Machine Learning, and Their Open-Source Software

2022 ◽  
pp. 1-28
Author(s):  
Richard S. Segall
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Open Source ◽  
Open Source Software ◽  
Limited Time ◽  
Software Company ◽  
Data Capacity ◽  
Network Software

This chapter first provides an overview with examples of what neural networks (NN), machine learning (ML), and artificial intelligence (AI) are and their applications in biomedical and business situations. The characteristics of 29 types of neural networks are provided including their distinctive graphical illustrations. A survey of current open-source software (OSS) for neural networks, neural network software available for free trail download for limited time use, and open-source software (OSS) for machine learning (ML) are provided. Characteristics of artificial intelligence (AI) technologies for machine learning available as open source are discussed. Illustrations of applications of neural networks, machine learning, and artificial intelligence are presented as used in the daily operations of a large internationally-based software company for optimal configuration of their Helix Data Capacity system.

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