Notice something important here: in the classification problem, the goal of the learning algorithm is to minimize the error with respect to the given inputs.
请注意这里提到的一个问题：在分类问题中，学习算法的目标是把给定输入中的错误最小化。
Compared obtained value with corresponding expected value, error was sent to network with reverse learning algorithm, so that renovate connect weighting value.
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。
An optimal learning control method for a robot is introduced with acceleration error used to correct the motion of actuators.
为工业机器人提出了一种最优学习控制法。这种控制法用加速度误差校正驱动器运动。
Network structure is adjusted with networks parameter learning, which could reduce error.
在网络参数学习的同时网络结构也在进行调整，使得误差不断减小。
Neural network is used widely in many fields as it' s strong self-adapting, self-learning and error tolerance abilities, with which image recognition is implemented.
由于神经网络技术具有很强的自适应性、学习性和容错性，因此被广泛应用于各个领域。
The establishment of mathematical model of PDAG algorithm, with the application of a learning matrix to the error data, proved the stability and convergence of PDAG algorithm in theory.
将学习矩阵作用于误差数据建立PDAG算法的数学模型，从理论上证明了PDAG算法的稳定性和收敛性。
The establishment of mathematical model of PDAG algorithm, with the application of a learning matrix to the error data, proved the stability and convergence of PDAG algorithm in theory.
将学习矩阵作用于误差数据建立PDAG算法的数学模型，从理论上证明了PDAG算法的稳定性和收敛性。
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