【摘要】 运用神经网络优化算法理论 ,对内燃机的气缸直径和活塞行程进行了优化计算。仿真结果表明 ,采用神经网络优化模型计算比常规的优化方法具有更高的精度。由于神经网络的并行处理能力 ,其运算速度更快 ,且可以VLSI实现 ,具有很好的运用前景。更多还原

【Abstract】 The cylinder diameter and piston stroke of the internal combustion engine have been arithmetically optimized according to the theory of neural network algorithm. Results show that calculation of the above mentioned values using the model of neural network optimization is of higher accuracy over the conventional optimization method. The neural network has a promising prospect of actual application since it is capable of simultaneously processing and more quickly calculating and VLSI presentation as well.更多还原