查询词典 neural network

In order to study the effect of data fusion on result, the neural network emendation model is established through giving different input.

为了探讨数据融合对检测结果的影响程度，分别给以不同的输入来建立神经网络校正模型。

Then we analyze the structure of the neural network and emphatically discuss the theory of it.

本文主要对基于BP神经网络的车辆牌照识别系统进行了较深入的研究和分析。

For the nondestructive measurement of grape, a combined artificial neural network module was proposed based on frequency sequence of images information and endoplasm parameters.

针对葡萄无损检测的要求，提出了基于频度序列和内质参数的人工神经网络组合模型。

This paper put forward a new intrusion detection method based on neural network ensemble.

提出一种新的基于神经网络集成的入侵检测方法。

Finally, the proposed neural network ensemble methods are applied to personal credit evaluation.

最后，将所提出的神经网络集成方法应用到个人信用评估中。

An algorithm of Heterogeneous Neural Network Ensemble Based on New Evolutionary is presented in this paper.

提出一种基于新型进化规划的异构神经网络集成算法。

A new method of obtaining one real root of algebraic equation which is based on the training of single-layer neural network, using the improved rule of is proposed.

提出一种以单层神经网络为基础，利用改进的δ规则进行训练，从而求得实系数代数方程一个实根的新方法，给出了改进的δ学习规则的数学推导和求解代数方程的SNN（Single－layerNeuralNetwork）学习算法，并利用该方法求解了大量代数方程，实验结果表明该方法是有效可行的

According to optical theory of distortion and utilizing BP neural network to approach nonlinear distortion, distortion correction mathematic model of whole field was set up through training the distortion measurement data which were measured by distortion detection device. This device has eleven equidistance points of laser goals and is designed based on the basis of distortion mechanism and radical character.

根据畸变光学原理，利用BP神经网络对非线性畸变进行良好的逼近，通过对由畸变测量装置获得的数据进行训练建立网络模型，从而建立整个视场畸变校正的数学模型。

The Problem is transformed into the solution of an equilibrium point of a neural network by performing a series of transformation steps.

并实施一系列的转换步骤，将这一问题化为两个神经网络的求解平衡点问题。

Based on a Hopfield neural network mode for combinational circuit test generation, a test generation algorithm with global searching ability is proposed. This algorithm is the combination of chaotic searching with gradient algorithm. By means of the inherent stochastic and ergodic property of chaotic searching, the problem of being trapped in local minimum of gradient algorithm can be solved.

基于组合电路测试生成的离散Hopfield神经网络模型，将混沌搜索与Hopfield网络的梯度算法相结合，利用混沌搜索的内随机性及遍历性来克服梯度算法易于陷于局部极小的缺点，形成一种具有全局搜索能力的测试生成有效算法。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。