Applications of neural networks
First Claim
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1. A method comprising:
- connecting a plurality of nodes into a neural network, each one of the nodes represented by a programming object;
defining a condition for cloning one of the plurality of nodes into a second plurality of child nodes where the one of the plurality of nodes is configured to autonomously clone and remove child nodes and the condition includes a recognition that the one of the plurality of nodes is of insufficient complexity to process inputs; and
when the condition is met, autonomously cloning the one of the plurality of nodes into two or more child nodes.
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Abstract
Software for controlling processes in a heterogeneous semiconductor manufacturing environment may include a wafer-centric database, a real-time scheduler using a neural network, and a graphical user interface displaying simulated operation of the system. These features may be employed alone or in combination to offer improved usability and computational efficiency for real time control and monitoring of a semiconductor manufacturing process. More generally, these techniques may be usefully employed in a variety of real time control systems, particularly systems requiring complex scheduling decisions or heterogeneous systems constructed of hardware from numerous independent vendors.
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Citations
8 Claims
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1. A method comprising:
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connecting a plurality of nodes into a neural network, each one of the nodes represented by a programming object; defining a condition for cloning one of the plurality of nodes into a second plurality of child nodes where the one of the plurality of nodes is configured to autonomously clone and remove child nodes and the condition includes a recognition that the one of the plurality of nodes is of insufficient complexity to process inputs; and when the condition is met, autonomously cloning the one of the plurality of nodes into two or more child nodes. - View Dependent Claims (2, 3, 4)
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5. A non-transitory computer-readable storage medium storing computer executable code that, when executing on one or more computing devices, performs the steps of:
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connecting a plurality of nodes into a neural network, each one of the nodes represented by a programming object; defining a condition for cloning one of the plurality of nodes into a second plurality of child nodes where the one of the plurality of nodes is configured to autonomously clone and remove child nodes and the condition includes a recognition that the one of the plurality of nodes is of insufficient complexity to process inputs; and when the condition is met, autonomously cloning the one of the plurality of nodes into two or more child nodes. - View Dependent Claims (6, 7, 8)
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Specification