This paper reports the initial results of a joint research project carried out by Aston University and Lloyd's Register to develop a practical method of assessing neural network applications. A set of assessment guidelines for neural network applications were developed and tested on two applications. These case studies showed that it is practical to assess neural networks in a statistical pattern recognition framework. However there is need for more standardisation in neural network technology and a wider takeup of good development practice amongst the neural network community
Introductory accounts of artificial neural networks often rely for motivation on analogies with mode...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Abstract—This paper presents a comprehensive review of the industrial applications of artificial neu...
. Modern industry of today needs flexible, adaptive and fault-tolerant methods for information proce...
113 articles about neural network learning algorithms published in 1993 and 1994 are examined ...
Abstract: Neural Network technology performs "intelligent" tasks similar to those performe...
This is a survey of neural network applications in the real-world scenario. It provides a taxonomy o...
Neural networks represent a powerful data processing technique that has reached maturity and broad a...
Artificial neural net (ANN) models, or neural networks, connectionist models, parallel distributed p...
Neural networks are being used increasingly in a wide range of real world applications. However, exi...
Neural networks have recently known a major development after an extinction period of fifteen years....
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Neural networks are being used in areas of prediction and classification, the areas where statistica...
This book provides comprehensive coverage of neural networks, their evolution, their structure, the ...
Abstract: Software measurements provide developers and software managers with information on various...
Introductory accounts of artificial neural networks often rely for motivation on analogies with mode...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Abstract—This paper presents a comprehensive review of the industrial applications of artificial neu...
. Modern industry of today needs flexible, adaptive and fault-tolerant methods for information proce...
113 articles about neural network learning algorithms published in 1993 and 1994 are examined ...
Abstract: Neural Network technology performs "intelligent" tasks similar to those performe...
This is a survey of neural network applications in the real-world scenario. It provides a taxonomy o...
Neural networks represent a powerful data processing technique that has reached maturity and broad a...
Artificial neural net (ANN) models, or neural networks, connectionist models, parallel distributed p...
Neural networks are being used increasingly in a wide range of real world applications. However, exi...
Neural networks have recently known a major development after an extinction period of fifteen years....
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
Neural networks are being used in areas of prediction and classification, the areas where statistica...
This book provides comprehensive coverage of neural networks, their evolution, their structure, the ...
Abstract: Software measurements provide developers and software managers with information on various...
Introductory accounts of artificial neural networks often rely for motivation on analogies with mode...
Neural network is a web of million numbers of inter-connected neurons which executes parallel proces...
Abstract—This paper presents a comprehensive review of the industrial applications of artificial neu...