moore machine
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2021 ◽  
Author(s):  
K. Mounika ◽  
D. Mamatha ◽  
Sudhakar Alluri
Keyword(s):  

2021 ◽  
Author(s):  
P. Sai Prasanna ◽  
B. Rithvej ◽  
JVR Ravindra

2019 ◽  
Vol 11 (01) ◽  
pp. 26-34
Author(s):  
Tuti Andriani ◽  
Pristiwanto

A vending machine is a substitute for a cashier or admin in the form of a machine so that buyers simply enter coins and the machine will issue them according to the request. Moore machine and mealy machines as a process for processing buyer orders which are translated into machine orders. Based on the test results of coins entered 1000 and 500, the drink can be chosen according to the price of the drink.


2000 ◽  
Vol 10 (04) ◽  
pp. 287-309 ◽  
Author(s):  
STEFAN WERMTER

This paper describes preference classes and preference Moore machines as a basis for integrating different hybrid neural representations. Preference classes are shown to provide a basic link between neural preferences and fuzzy representations at the preference class level. Preference Moore machines provide a link between recurrent neural networks and symbolic transducers at the preference Moore machine level. We demonstrate how the concepts of preference classes and preference Moore machines can be used to interpret neural network representations and to integrate knowledge from hybrid neural representations. One main contribution of this paper is the introduction and analysis of neural preference Moore machines and their link to a fuzzy interpretation. Furthermore, we illustrate the interpretation and combination of various neural preference Moore machines with additional real-world examples.


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