Appeal No. 97-1622
Application No. 08/109,179
Representative claim 1 is reproduced as follows:
1. A state estimating apparatus for inferring a value of
single output data from a plurality of input data given as
input factors and estimating a state of a system, the
plurality of input data and the single output data being time
series data which continuously change, and the plurality of
input data and the single output data having an implicit
relationship which continuously changes, comprising:
input space quantization means for quantizing an input
space having the input data from case data indicating a
plurality of past input data and past single output data
stored in advance, in accordance with a required precision of
the single output data;
storage means for calculating a number of times of
occurrence of the single output data corresponding to each
input event in the input space quantized by said input space
quantization means, a mean value of the single output data,
and a mean value of change amounts of the single output data,
and for storing a set of the number of times of occurrence and
the mean values as a causal relationship model;
means for, on the basis of a concept of continuous
mapping of a topology, calculating a neighborhood of the input
space which satisfies the required precision of the single
output data as a statistical amount of all input data of the
case data, and for expressing the calculated neighborhood of
the input space as a quantization number by which the input
space is quantized;
similar case extraction means for, when a new input event
is input, enlarging the calculated neighborhood of the input
space to a predetermined degree, and extracting an input case
similar to the calculated neighborhood from an input case in
the input space;
similarity determination means for determining a
similarity between the new input event and the extracted
similar input case on the basis of the predetermined degree of
enlarging; and
3
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