查询词典 neural network

But if using the neural network model to simulate greenhouse microclimate, the limitation must be fully realized.

但是在应用神经网络模型对温室环境进行模拟时要充分认识神经网络模型的局限性。

Put forward is a method that estimates the micropore structure types according to the BP neural network.

提出了基于神经网络技术对测井资料处理以识别储层孔隙结构类型的方法。

The result shows that microwave neural network is a simple and effective method.

经过上述分析和实验证明，微波神经网络是一种简单而高效的数学模型。

The accurate rate of return of the previous five methods are higher than their prediction, but their accurate rates of return are also not good, all these show that these predicting methods are not good in the forecasting of wheat midge than neural network.

从以上数字可以看出，前五种预测方法的回测准确率都比预测准确率高，但回测准确率也不十分理想，说明这些预测方法对小麦吸浆虫的回测和预测效果都不如神经网络方法。

Third, based on the research of neural network theory and problem of the BP algorithm, a new method of the accelerating convergence rate and resolving part minima dot has been proposed.

第三，深入研究了神经网络系统理论，并针对目前常用的BP算法所存在的问题，提出了一种加快收敛速度和解决局部极小点的新的方法。

In the fourth chapter, we establish a neural network to investigatethe minimax problem.

然后，我们将上述结果用于实对称矩阵的特征问题和非线性优化问题。

From Chapter 5 to 6, A new nonsymmetric neural network has been given for solving minimax optimization problem.

针对最小覆盖球问题，给出了一种新的非对称神经网络模型。

To find the minimum of energy function E is a part of work in the test generation based on neural network.

给出了神经网络测试生成的遗传进化方法的并行实现算法；提出了异步拟牛顿法、异步割线法和异步区间算法等三种异步并行算法，并对每一算法的收敛性及收敛效率做了分析，为神经网络测试生成方法在多机并行系统上的仿真实现提供了新的途径。

In the algorithm, radial-basis function neural network was utilized as forward model, and genetic algorithm was used to solve the optimization problem in the inverse problem, which can avoid the local minimum solution possibly encountered in the iterative inverse algorithm based on gradient descent and consequently achieve the global optimized solution of the inverse problem.

在该算法中，径向基函数神经网络用作前向模型，遗传算法用于求解逆问题中的优化问题，其优点是能够避免基于梯度下降法的迭代逆算法中可能遇到的局部最小问题，并能得到逆问题的全局最优解。

Aiming at the difficulties of invalid solution and local minimum problems when traveling salesman problemis studied using Hopfield artificial neural network.

针对Hopfield神经网络在求解旅行商问题时出现的无效解和局部极小值问题，分析和比较两种改进的求解方法，首先从理论上证明算法的有效性，然后对两种算法分别进行计算机仿真，探讨网络收敛于全局有效解的途径。

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。