这种芯片将大大超过目前的计算机模拟速度，现有设备对细胞内大范围非线性回路的噪声影响建模时效率非常低下。
Such chips would be much faster than computer simulations now, which are highly inefficient at modeling the effects of noise in the large-scale nonlinear circuits within cells.
这主要是由于塑性成形数值模拟的高度非线性和大计算量特征，使得成形过程优化变得非常困难。
Optimization of forming process is a very difficult problem due to high nonlinearity and huge computational cost of numerical simulations.
以散货船和油船为实例的计算结果表明，由非线性模拟神经元组成的神经网络在船体重量估算中是非常有效的。
It is shown by the computational results for bulk carriers and tankers that massively parallel, interconnected networks of nonlinear analog neurons are most effective in the hull weight estimation.
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