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Applied Artificial Neural Networks

Since their re-popularisation in the mid-1980s, artificial neural networks have seen an explosion of research across a diverse spectrum of areas. While an immense amount of research has been undertaken in artificial neural networks themselves-in terms of training, topologies, types, etc.-a similar a...

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Bibliographic Details
Main Author: Christian Dawson ((Ed.))
Format: eBook
Language:English
Published: MDPI - Multidisciplinary Digital Publishing Institute 2016
Subjects:
Data Mining
Artificial Neural Networks
Deep Learning
Machine Learning
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
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653 |a Artificial Neural Networks 
653 |a Deep learning 
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520 |a Since their re-popularisation in the mid-1980s, artificial neural networks have seen an explosion of research across a diverse spectrum of areas. While an immense amount of research has been undertaken in artificial neural networks themselves-in terms of training, topologies, types, etc.-a similar amount of work has examined their application to a whole host of real-world problems. Such problems are usually difficult to define and hard to solve using conventional techniques. Examples include computer vision, speech recognition, financial applications, medicine, meteorology, robotics, hydrology, etc. This Special Issue focuses on the second of these two research themes, that of the application of neural networks to a diverse range of fields and problems. It collates contributions concerning neural network applications in areas such as engineering, hydrology and medicine. 

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