On the basis of evolutionary neural network, the recognition model of promoter in eukaryote's gene was built using BP algorithms and genetic algorithms.
所以在此基础上，利用进化神经网络，采取BP算法和遗传算法建立了真核生物基因启动子识别模型。
In order to correct the measuring results of moisture from microwave resonator, the IA-BP optimization algorithm based evolutionary neural network model is presented.
为了对微波谐振腔含水率测量结果进行校正，提出一种基于IA - BP优化算法的进化神经网络模型。
Considering the dynamic character of rock burst, a time serial model of rock burst is constructed by evolutionary neural network based on immunized evolutionary program.
考虑到冲击地压时序的特点，采用基于免疫进化规划的进化神经网络进行了冲击地压非线性系统的建模研究。
A new evolutionary neural network algorithm - EPANN is presented, and the experimental results show that EPANN has great computation ability in comparison with other a...
应用这一思想，本文提出了一种新的演化神经网络算法—EP ANN，并通过算法实例说明EPANN是可行的。
The proposed model is tested by a real magnitude series from a mine, and results show that evolutionary neural network model has not only high precision, but also high prediction.
并采用一个矿山实测得到的震级数列进行了进化神经网络方法的实用性验证，结果表明，进化神经网络不但模型拟合精度高，而且预测性能也较好。
Considering the nonlinear affects of various parameters on rain attenuation, we propose a new rain attenuation model based on evolutionary neural network and compare it with the ITU-R model.
本文在考虑多个参数对雨衰减非线性影响的基础上，建立了基于进化神经网络的雨衰减模型，并与ITU - R模型进行了比较。
Using this improved evolutionary neural network, the complex relationship between the design parameters and the stability after reinforcement and the cost of the project is expressed successfully.
利用此进化神经网络较准确地表达了滑坡加固方案中设计参数与加固后滑坡的总体稳定性和工程造价之间的复杂映射关系。
This paper proposes a new optimizing neural network structure and weight distribution method two-step evolutionary method.
文章提出了一种新的优化神经网络结构及权值的方法——两级进化的方法。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
An evolutionary strategy algorithm based on neural network to diagnose power transformer faults is proposed.
提出一种基于进化策略算法的人工神经网络法对电力变压器故障进行诊断。
Simultaneity optimization for structure and weight distribution of neural network belongs to two class evolutionary method.
神经网络结构及权值优化属两级进化方法。
Artificial Immunology is a novel intelligent computing research field and research hotspot after artificial neural network and evolutionary computation.
人工免疫学是继神经网络、进化计算之后新的智能计算研究领域和研究热点。
This paper proposes a new transformer fault diagnostic method using fuzzy neural network based on mind evolutionary algorithm.
本文提出一种基于思维进化算法的模糊神经网络变压器故障诊断方法。
The identification algorithm integrating the forward evolutionary algorithm and improved BP algorithm for the dynamic recursive neural network model is formed.
与改进BP算法相结合，各取所长，形成集成化动态递归神经网络建模辨识算法。
Design and implementation of artificial neural networks based on evolutionary computation can lead to significantly better network performance.
基于进化算法可有效解决神经网络设计和实现中存在的一些问题，使网络具有更优的性能。
The neural network with optimal architecture trained by evolutionary algorithm and Vogl algorithm is used to substitute the time-consuming finite element analysis.
该法使用具有较强非线性映射能力的神经网络模型代替有限元计算，提高了计算效率。
Finally, based on the IGIAS, a case study related to three-dimensional visualization and hazard subzone by using evolutionary artificial neural network is presented.
并以具体的边坡工程为实例，给出了基于IGIAS的三维可视化辅助分析，以及边坡危险性分区进化神经网络方法。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
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