Download Predictive Modular Neural Networks: Applications to Time by Vassilios Petridis,Athanasios Kehagias PDF

By Vassilios Petridis,Athanasios Kehagias

the topic of this ebook is predictive modular neural networks and their ap­ plication to time sequence difficulties: type, prediction and id. The meant viewers is researchers and graduate scholars within the fields of neural networks, computing device technological know-how, statistical trend reputation, facts, regulate conception and econometrics. Biologists, neurophysiologists and scientific engineers can also locate this booklet fascinating. within the final decade the neural networks neighborhood has proven extreme curiosity in either modular equipment and time sequence difficulties. comparable curiosity has been expressed for a few years in different fields besides, so much particularly in information, regulate concept, econometrics and so forth. there's a huge overlap (not continually famous) of principles and techniques among those fields. Modular neural networks come via many different names, for example a number of types, neighborhood types and combos of specialists. the elemental thought is to independently enhance a number of "subnetworks" (modules), that may practice an analogous or re­ lated projects, after which use an "appropriate" process for combining the outputs of the subnetworks. a few of the anticipated benefits of this process (when in comparison with using "lumped" or "monolithic" networks) are: improved functionality, diminished improvement time and larger flexibility. for example, if a module is faraway from the community and changed via a brand new module (which could practice an identical job extra efficiently), it may no longer be essential to retrain the mixture network.

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