Abstract:- This paperwork describes and refers to the structure of neuronal networks who make up the system we use for predicting wire breaking, the way they have been used and implemented; and the use and implementation of the entire system. Before testing the networks, we must identify the design of the RNA input curves. We should identify it experimentally, using the same measurements as for the continuous cast process. For using the serial-dynamic and space network, we need a large amount of data, more than the data that a thermo-couple uses during 120 seconds. Thus, specialists have had to design new software in order to stimulate the difference curves we should use for each network input. Because dynamic-serial networks follow the sam...
This investigation demonstrates that neural networks can perform some of the tasks in controlling co...
The use of continuum models for the analysis of discrete built-up complex aerospace structures is an...
Neural networks represent a powerful data processing technique that has reached maturity and broad a...
Continuous casting is a process in which liquid steel is cooled in a bottomless mould into semi-fini...
Continuous casting of steel is a process in which liquid steel is continuously solidified into semi-...
Mathematical modelling using advanced approach based on the neural networks has been applied to the ...
Steel undergoing the peritectic transformation are prone to cracking during continuous casting. Alth...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
The factors of influence involved in many metallurgical problems are featured by a non-linear relati...
In this work an artificial intelligent neural network system is developed to generate the process pa...
The artificial neural network is one of the interesting techniques that have been advantageously use...
In this master’s thesis are discussed static properties of network traffic trace. There are also add...
Abstract: Artificial Neural networks (ANNs) have potential challenges in the eve of prediction, opti...
The article shows a new model of Continuous Cooling Transformation (CCT) diagrams of structural stee...
Neural networks have been applied within manufacturing domains, in particular electronics industries...
This investigation demonstrates that neural networks can perform some of the tasks in controlling co...
The use of continuum models for the analysis of discrete built-up complex aerospace structures is an...
Neural networks represent a powerful data processing technique that has reached maturity and broad a...
Continuous casting is a process in which liquid steel is cooled in a bottomless mould into semi-fini...
Continuous casting of steel is a process in which liquid steel is continuously solidified into semi-...
Mathematical modelling using advanced approach based on the neural networks has been applied to the ...
Steel undergoing the peritectic transformation are prone to cracking during continuous casting. Alth...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
The factors of influence involved in many metallurgical problems are featured by a non-linear relati...
In this work an artificial intelligent neural network system is developed to generate the process pa...
The artificial neural network is one of the interesting techniques that have been advantageously use...
In this master’s thesis are discussed static properties of network traffic trace. There are also add...
Abstract: Artificial Neural networks (ANNs) have potential challenges in the eve of prediction, opti...
The article shows a new model of Continuous Cooling Transformation (CCT) diagrams of structural stee...
Neural networks have been applied within manufacturing domains, in particular electronics industries...
This investigation demonstrates that neural networks can perform some of the tasks in controlling co...
The use of continuum models for the analysis of discrete built-up complex aerospace structures is an...
Neural networks represent a powerful data processing technique that has reached maturity and broad a...