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Biological Systems Engineering. Administered by the Department of Agricultural and Biosystems
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Neural networks are especially well suited to perform pattern recognition to identify and classify objects or signals in speech, vision, and
control systems. They can also be used for performing time-series prediction and modeling. Here are just a few examples of how
neural networks are used:
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neural networks (ANN) or connectionist
systems are computing
systems vaguely inspired by the biological
neural networks that constitute animal brains. The
neural network itself is not an algorithm, but rather a framework for many different machine learning algorithms to work together and process complex data inputs. Such
systems "learn" to perform tasks by considering examples ...
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Neural Network Controller for Mobile Robot Motion
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control laws for trajectory following or goal reaching Abstract—In this paper the
neural network-based controller is [8], [9].
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network training can be slow and energy intensive, owing to the need to transfer the weight data for the
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recurrent neural network (RNN) is a class of artificial
neural network where connections between nodes form a directed graph along a temporal sequence. This allows it to exhibit temporal
dynamic behavior. Unlike feedforward
neural networks, RNNs can use their internal state (memory) to process sequences of inputs.This makes them applicable to tasks such as unsegmented, connected …
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