您可以调查趋势，当您学习如何将您的计划的时程规划与实际相比较时应该能够改进您的项目计划和时间进度安排。
You can examine trends, and should be able to improve your project planning and scheduling as you learn how your projected timeframes compare to actuals.
我用一些富有意义的工作来填满它：写博客，与良师益友们联络，学习新的方式来改进的我的工作面。
I managed to fill some of that space with meaningful work: writing this blog, connecting with friends and mentors, learning new ways to improve my workplace.
为最初的学习和进行的试验预留一些空间对于自组织团队的成长与持续改进来说是非常重要的。
Allowing some space of initial learning and on-going experimentation is important for self-organizing teams to grow and continuously improve.
与之相反，学会去欣赏它，使它成为一次快乐的旅程，经常学习、不断改进、去爱。
Instead, learn to enjoy the journey. Make it a journey of Happiness, of constant learning, of continual improvement, of love.
密码技术中弹性函数的存在性与构造问题和入侵检测技术中基于机器学习的智能化改进是目前信息安全领域中的研究热点。
The existence and construction of resilient functions in Encryption and the intelligentized improvement based on Machine Learning in IDS are the focus of information security.
讨论了误差逆传播算法存在的缺陷，并针对其缺陷提出了动态调整学习因子与合理选取激发函数相结合的改进方案。
Disadvantages of the back propagation algorithm are discussed, and the improved methods based on dynamic learning constants and different activation functions are presented.
与品行良好的教授们朝夕相处并观察，学习他们的行为，这会自然而然地改进自己的人格。
To get in close touch with them and to observe how they behave will naturally tend to improve one's character.
为改进网络学习效率及大范围收敛性，提出了网络权值学习的单调同伦方法，该方法具有与牛顿法相同的二阶收敛性。
To improve the learning efficiency and global convergence we present the monotone homotopy method, which has the same convergence as the Newton's method, to train the weights of the network.
强化学习不需要有先验知识，而是通过与环境的不断交互获得知识，改进行为策略，具有自学习的能力。
Reinforcement learning does not need priori knowledge and improves its behavior policy with knowledge obtained by interaction with the environment.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
在与对象或环境的交互过程中，通过“行动—评价—改进”的方式，实现自组织的技能学习。
CM_(gs) can interact autonomously with the environment and develop the motor skill by the growing manners of neural system itself through the way of "action –evaluation -reinforcement".
与标准BP算法比较，该系统通过结合附加动量法和自适应学习速率形成新的BP改进算法。
Compared to the standard BP, this algorithm integrated the additional momentum method with the adaptive learning rate method.
将基于MGS算法的NARMAX模型结构与参数辨识的一体化算法和小波网络相结合，提出一种改进的小波网络学习算法。
Combining wavelet networks with a kind method of model structure design and parameter estimation of NARMAX model, a modified wavelet network training scheme is proposed.
在概述其机理的基础上，从如何提高学习精度与学习速度着手，分析了现有算法及其优缺点和需要改进的问题；
The paper analyzes the existing algorithms and their strengths, weaknesses and the problems, depending on the learning accuracy and learning speed;
在概述其机理的基础上，从如何提高学习精度与学习速度着手，分析了现有算法及其优缺点和需要改进的问题；
The paper analyzes the existing algorithms and their strengths, weaknesses and the problems, depending on the learning accuracy and learning speed;
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