其次，从误差反传算法在预测中存在的问题入手，提出一种混合训练算法。
Secondly, the hybrid training algorithm is proposed on the base of the Error Back-propagation algorithm's disadvantage analysis in the paper.
传算法是一种基于生物进化原理的启发式并行搜索和优化技术，常被用于优化计算。
Propagation algorithm is a heuristic based on the principle of biological evolution parallel search and optimization techniques, often used for optimization.
针对多层前馈网络的误差反传算法存在的收敛速度慢，且易陷入局部极小的缺点，提出了采用微粒群算法（PSO）训练多层前馈网络权值的方法。
The particle swarm optimization(PSO) algorithm, is used to train neural network to solve the drawbacks of BP algorithms which is local minimum and slow convergence.
结合小波分析和神经网络的特点，建立了应用于船舶横摇运动时间序列预报的误差反传小波神经网络结构并给出了算法。
Combining wavelet analysis and neural network characteristics, the error back propagation wavelet neural network based structure and algorithm to ship roll time series prediction are given.
用计算机仿真的方法在数字用户环路上实现了该算法，并测定其数字用户环路上所能获得的最大传码率，分析最大传码率与发送总功率的关系，给出比特分配结果。
On the digital subscriber loop we realized the algorithm, got the max receiving bit, analysed the relation between the max receiving bit and transmitted power, and got the result of bit allocation.
文章还推导了基于BP的反传学习算法。
Meanwhile, the back propagation learning algorithm is given based on BP.
本文给出了实时无线数传模块的详细设计方案，并在设计无线数传模块MAC协议时，给出了上述算法的具体实现。
In this dissertation a detailed design scheme of wireless data transmission module is given, and the former two algorithm is fulfilled in its MAC protocol design.
针对具有时间窗口和数传资源限制卫星数传调度问题，提出了基于解构造图模型的蚁群优化算法。
For satellite data transmission scheduling problem (SDTSP) restrained with time Windows and resources, ant colony optimization algorithm based on solution construction graph model is proposed.
研究了互感器设备的频率传变特性对算法的影响。
The effects of transient response of instrument transformers to the algorithm are studied.
获得的值与对应的期望值对比，误差使用反传学习算法传回网络，用以更新连接权值。
Compared obtained value with corresponding expected value, error was sent to network with reverse learning algorithm, so that renovate connect weighting value.
讨论了学习社会行为的可行性和必要性，并采用强化学习方法，给出了多机器人传接合作搬运的详细算法实现。
The possibility and necessity of learning social behavior were discussed, and applying reinforcement learning and the above idea to multi-agent's learning relay cooperation in convey.
经模拟计算，它比传统的基于最陡下降方法的误差反传（SDBEP）算法具有更好的收敛性能。
Simulation computations show that it converges faster than the conventional steepest descent backwards error propagation (SDBEP) algorithm.
使用预先定义的算法生成许可证交付，其中仅把收件人的名称传值为第一个参数。
Delivers a license using a predefined algorithm, passing only the recipient's name as the first parameter.
使用预先定义的算法生成许可证交付，其中仅把收件人的名称传值为第一个参数。
Delivers a license using a predefined algorithm, passing only the recipient's name as the first parameter.
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