INTERNAL COMBUSTION ENGINE CONDITION DETERMINATION APPARATUS, INTERNAL COMBUSTION ENGINE CONDITION DETERMINATION SYSTEM, AND DATA ANALYZING APPARATUS

The invention provides an internal combustion engine condition determination apparatus, an internal combustion engine condition determination system, and a data analyzing apparatus. A CPU calculates probability models by inputting input variables to a neural network. Next, the CPU determines whether a maximum value among the calculated probability models is larger than an upper limit value of a permissible range. When the maximum value is larger than the upper limit value of the permissible range, the CPU calculates a difference between the maximum value and a first reference value within the permissible range, and subtracts the difference from all the probability models. Then, the CPU calculates a probability of misfire in each cylinder by inputting each of the calculated probability models to a softmax function of mapping. 提供一种内燃机的状态判定装置、内燃机的状态判定系统、及数据解析装置。CPU向神经网络输入输入变量，并算出概率原型。接着，CPU判定所算出的概率原型中的最大值是否超过容许范围的上限值。并且，CPU在最大值超过容许范围的上限值的情况下，算出最大值与作为容许范围内的值的第1基准值的差量，并从所有概率原型中减去差量。之后，通过将所算出的概率原型向映射的归一化指数函数输入，从而算出