An approach to the technology with fuzzy systems, neural networks and genetic algorithms is given.
本文应用基于遗传算法的模糊神经网络方法，建立了科研项目立项评审的智能管理系统。
It is an efficient method to solve engineering optimization problems with neural networks and genetic algorithms.
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。
The approach based on artificial neural networks and genetic algorithms is effective only if the search space is relatively small.
基于遗传进化和神经网络的位移反分析方法，亦只在较小的解空间内才有效。
There are many other AI techniques that can be implemented and tried in a Chess program, such as neural networks, genetic algorithms, and collaborative computing.
许多其他的人工智能技术也被应用到这类程序中，例如神经网络，遗传算法和协同计算。
Indeed, the names of major subfields of computer science-such as artificial neural networks, genetic algorithms, and evolutionary computation-attest to the influence of biological analogies.
说实话，在计算机科学的一些主要分支学科的命名上就可以看出生物学的影子，譬如人工神经网络，遗传算法和进化计算法等等。
The paper briefly introduces some modern optimum algorithms of simulated annealing, genetic algorithms, neural networks and graphic algorithms in and applied in prediction of protein structure.
简要地介绍了模拟退火算法，遗传算法，人工神经网络和图论算法在蛋白质结构预测中的应用。
Founded on change speciality of series of dam safety monitoring forecast, artificial neural networks and nonlinear models of time series based on genetic algorithms are applied.
根据大坝监测数据在时序上变化特征，应用了神经网络和基于遗传算法的时间序列的非线性预测模型。
Mostly used methods are introduced in detail, including fuzzy method, rough sets theory, cloud theory, evidence theory, artificial neural networks, genetic algorithms and induction learning.
详细介绍了数据挖掘技术的常用方法，包括模糊理论、粗糙集理论、云理论、证据理论、人工神经网络、遗传算法以及归纳学习。
In this thesis, soft computing based control algorithms including genetic algorithms (GA), fuzzy control, neural networks (NN) and their different combinations are discussed systematically.
本论文对包含遗传算法、模糊逻辑控制和神经网络的软计算的智能控制及其几种不同结合方式做了较为系统的研究。
Their success sparked a renewed interest in learning AI methods such as decision trees, neural networks, genetic algorithms, and probabilistic methods.
这些游戏的成功从新燃起了对游戏ai方法的热情，比如：决定树，神经元网络，遗传算法，和盖然论。
Their success sparked a renewed interest in learning AI methods such as decision trees, neural networks, genetic algorithms, and probabilistic methods.
这些游戏的成功从新燃起了对游戏ai方法的热情，比如：决定树，神经元网络，遗传算法，和盖然论。
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