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    • 41. 发明专利
    • DEVICE FOR OUTPUTTING APPROXIMATE VALUE AND ITS LEARNING DEVICE
    • JP2001109732A
    • 2001-04-20
    • JP28772299
    • 1999-10-08
    • RINNAI KKINST NAGOYA IND SCIENCE RES
    • MIWA MASAHIROFURUHASHI TAKESHI
    • G05B13/02G06F15/18G06N3/00
    • PROBLEM TO BE SOLVED: To construct an approximate value outputting device (CMAC) which outputs a value approximating a true value decided by a combination of inputted data with a small amount of data quantity and in a short time. SOLUTION: This CMAC has a cerebellum model part provided with a plurality of layers of layer models having a granule cell value in each combination of a plurality of sections obtained by dividing a range that can be taken by various data and a calculating part which specifies the granule cell value of a combination of corresponding sections from a plurality of kinds of inputted data, adds the granule cell values of each layer and calculates an approximate value, and the division position of the cerebellum model part is made suitable by evolutionary algorithm within the range of the number of designated divisions. This learning device for a granule cell value has a specifying part which specifies a granule cell value before learning corresponding to the combination of plurality of kinds of inputted data, an adding part which adds specified granule cell values, a deviation calculating part which calculates the deviation between the added value and the true value, an updating part which updates the granule cell value before learning on the basis of the deviation and the number of the layers of the layer model and a controlling part which starts the specification processing of the specifying part before the updating part completes update processing.
    • 49. 发明专利
    • APPROXIMATE VALUE OUTPUT DEVICE
    • JP2002117387A
    • 2002-04-19
    • JP2000306675
    • 2000-10-05
    • RINNAI KKINST NAGOYA IND SCIENCE RES
    • MIWA MASAHIROFURUHASHI TAKESHI
    • G06N3/00
    • PROBLEM TO BE SOLVED: To furthermore improve the approximation precision without increasing the number of granular cells by removing restriction that a granular cell group is divided into a grid-like shape. SOLUTION: This approximate value output device (including a device at an adjustment step) is constituted of an approximate value output part 20 and an algorithm processing part 40. The approximate value output part 20 has a data group input part 22, an initial condition setting part 23, cerebellum model parts 24, 26, post-learning granular cell value calculation parts 28, 30, an addition part 34, a deviation calculation part 36, and a true value input part 38. The algorithm processing part 40 has a first GTO part 46, a mutation part 52, a second GTO part 56 or the like for evolving a sequence (line segment) of binary numbers by an evolutional algorithm, a decode part 50 for decoding the evolved sequence (line segment) of binary numbers and forming a section of non-grid-like granular cells, and an evaluation part 54 or the like for evaluating a chromosome 42.