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This paper applies parallel tangents of nonlinear programming during the weights training of neural network and puts forward a neural network in view of fast learning algorithm.
因此,作者将非线性规划的平行切线算法用于神经网络的权值学习,提出了一种具有快速学习算法的神经网络。
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The paper introduces the nonlinear programming method under nonlinear constraints to well trajectory design while drilling and puts forward an optimization method for well trajectory design.
本文将非线性不等式约束下的非线性数学规划理论引入到水平井待钻井眼轨迹设计中,提出了水平井待钻井眼轨迹的最优化设计方法。
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By using the idea of nonlinear programming, the lower bound limit analysis model of mathematical programming for wedge stability is established.
建立了下限法数学规划模型,并通过非线性规划获得楔体稳定严格的下限解。
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Introduce main problems of Constained Optimization and methods to solve them . Using immune computing algorithm for solving nonlinear programming problem.
介绍了约束条件的函数优化的主要问题及处理约束的解决方法,针对一般性非线性规划问题,采用免疫算法来进行处理。
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An identical single-objective crisp-optimization model was derived from the fuzzy model for solving the problem with any standard nonlinear programming solver.
根据模糊集合原理将模糊模型转化为一个传统的单目标非模糊优化问题,从而可采用任一非线性规划求解器进行求解。
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A new method is applied to a kind of nonlinear programming problem with monotonic functions and non-monotonic objective functions.
给出了一类约束函数单调而目标函数非单调的非线性规划问题的一种新的求解方法。
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A hybrid genetic algorithm for solving nonlinear programming problems with twice differentiable objective and twice differentiable constraints was presented.
提出了一种求解目标函数和约束条件均二阶可导的非线性规划问题的混合计算智能算法。
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We present a general integer nonlinear programming formulation for determining an optimal stationary cyclic schedule of logistics capability.
为了决定最优的稳定周期性的物流运作能力计划,提出了一般性的整数非线性规划公式。
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In this paper, we mainly aim at the optimization of multi - modal function in the nonlinear programming.
本文主要研究了非线性规划中多峰问题的优化求解.
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Results show that the PSS parameter can be further coordinated by using the nonlinear programming technique.
结果表明,利用非线性规划技术可以进一步协调PSS参数.
非线性规划是具有非线性约束条件或目标函数的数学规划,是运筹学的一个重要分支。非线性规划是20世纪50年代才开始形成的一门新兴学科。70年代又得到进一步的发展。非线性规划在工程、管理、经济、科研、军事等方面都有广泛的应用,为最优设计提供了有力的工具。