1) true flow ratiocination neural net
真值流推理神经网络
1.
According to the function of the true flow ratiocination neural net, and through blurring ratiocination of the ratio SV/SG (SV represents the overflow mouth section area of the overflow system of the diecasting die and SG represents the inner gate section area of the feeding system), the overflow system design knowledge was simulated.
根据真值流推理神经网络的作用 ,通过对压铸模溢流系统溢流口截面积SV 与浇注系统内浇口截面积SG 的比值SV/SG 的模糊推理 ,进行了溢流系统设计知识的模拟。
2) Truth-valued flow inference network
真值流推理网络
4) fuzzy-reasoning neural network
模糊推理神经网络
1.
Then based on fuzzy-reasoning neural network system,a prediction model of end-point carbon for converter was established.
考虑到机理模型能较准确给出转炉吹炼过程的定性规律,而难以给出可靠的定量关系,首先利用冶金机理模型和PLS方法分析影响转炉终点碳的因素,然后建立基于模糊推理神经网络的转炉终点碳预报模型。
5) neural network fuzzy inference system
神经网络模糊推理系统
补充资料：演绎推理(见推理)
演绎推理(见推理)
deductive inference
住理。yanyl tullj演绎推理(deduetive infer。二ee)见
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条