采用遗传算法优化FLANN的连接权值。
Genetic algorithms is used to search the optimal link weights of FLANN.
神经网络建模和遗传算法优化是求解工程优化问题的一种行之有效的方法。
It is an efficient method to solve engineering optimization problems with neural networks and genetic algorithms.
与基本型遗传算法优化结果相比，粒子群算法效果要好于基本型遗传算法。
The simulation results showed that the Particle Swarm algorithms excelled genetic algorithms and roller mill can work more efficiently.
提出了一种利用遗传算法优化前向神经网络的结构和正则项系数的混合学习算法。
A hybrid learning approach is presented in which genetic algorithms are used to optimize both the network architecture and the regularization coefficient.
探讨了遗传算法优化PID参数的基本方法，着重研究了改进遗传算法的PID控制优化。
Also this paper discusses the basic method of ant colony algorithm to optimize PID control parameter.
作者利用一种新型优化算法——遗传算法优化短行程控制曲线，解决了传统方法难以解决的优化问题。
The curve of short stroke control which can , t be optimized with conventional methods was optimized with a new optimization algorithm—genetic algorithm.
作者利用一种新型优化算法——遗传算法优化短行程控制曲线，解决了传统方法难以解决的优化问题。
The curve of short stroke control which can , t be optimized with conventional methods was optimized with a new optimization algorithm—genetic algorithm.
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