SUPPORTING SYSTEM USING NEURAL NETWORK, PLANT OPERATION SUPPORTING SYSTEM UTILIZING THE SUPPORTING SYSTEM AND AUTOMATIC ADDITIONAL LEARNING METHOD FOR NEURAL NETWORK
PURPOSE:To highly efficiently perform the automatic additional learning of a neural network in a plant operation supporting system with less burdens on a hardware. CONSTITUTION:The supporting system 200 of a plant operation for supporting the operation by displaying quantitative guidance through a C...
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creator | YAHAGI TOSHIO YODA MIKIO BABA KENJI HARA NAOKI OOBUCHI MISAKO YAMAKOSHI NOBUYOSHI |
description | PURPOSE:To highly efficiently perform the automatic additional learning of a neural network in a plant operation supporting system with less burdens on a hardware. CONSTITUTION:The supporting system 200 of a plant operation for supporting the operation by displaying quantitative guidance through a CRT 190 to an operator for managing the plant system of a water purification process is provided with a neural system 230 using the neural network as a means for calculating a predicted value for support and reconstructs the neural network corresponding to input conditions by the automatic additional learning method. By performing recollection by the combination of a learning cycle and a learning judgement history period (the number of days) at the time of constructing the new neural network and thereby finding the combination of the learning cycle and the learning judgement history period (the number of days) for letting an average recollection errors be minimum, the cycle of the automatic additional learning of the neural network is set matched with the conditions and is simultaneously changed. |
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CONSTITUTION:The supporting system 200 of a plant operation for supporting the operation by displaying quantitative guidance through a CRT 190 to an operator for managing the plant system of a water purification process is provided with a neural system 230 using the neural network as a means for calculating a predicted value for support and reconstructs the neural network corresponding to input conditions by the automatic additional learning method. By performing recollection by the combination of a learning cycle and a learning judgement history period (the number of days) at the time of constructing the new neural network and thereby finding the combination of the learning cycle and the learning judgement history period (the number of days) for letting an average recollection errors be minimum, the cycle of the automatic additional learning of the neural network is set matched with the conditions and is simultaneously changed.</abstract><edition>5</edition><oa>free_for_read</oa></addata></record> |
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subjects | ANALOGUE COMPUTERS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING COUNTING ELECTRIC DIGITAL DATA PROCESSING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING |
title | SUPPORTING SYSTEM USING NEURAL NETWORK, PLANT OPERATION SUPPORTING SYSTEM UTILIZING THE SUPPORTING SYSTEM AND AUTOMATIC ADDITIONAL LEARNING METHOD FOR NEURAL NETWORK |
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