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APPLYING ARTIFICIAL NEURAL NETWORKS TO PREDICT NOMINAL VEHICLE PERFORMANCE

机译:应用人工神经网络预测名义车辆性能

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1. Does this match expected output for given speeds and engine states? (Difficult because data is nonlinear with multiple variables) 2. Are there anomalies, if so have we seen this behavior in previous runs? (Difficult because there dozens of previous runs, all unique) 3. How would a change to inputs have affected the output? (Difficult because behavior can be counterintuitive).
机译:1.这是否与给定速度和发动机状态下的预期输出相匹配? (这是困难的,因为数据是具有多个变量的非线性)2.是否存在异常,如果是的话,我们是否在以前的运行中看到过这种行为? (这很困难,因为之前有几十个运行都是唯一的)3.输入的更改将如何影响输出? (这很困难,因为行为可能违反直觉)。

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