learning algorithm的例句大全

A Shunting Inhibition Neural Network Structure and Learning Algorithm

一种并联抑制神经网络结构及学习算法

Semi-Supervised Learning Algorithm Based on SVM and by Gradual Approach

基于支持向量机的渐近式半监督式学习算法

An Accelerated Learning Algorithm for Neural Networks by Gradient Power Method

加快神经网络学习的梯度幂次法

A learning algorithm which can simultaneously evolve the network structure, the weights, the initial inputs of structural unit, and the self-feedback gain coefficient was proposed.

提出了对网络的结构、权重、结构单元的初始输入和自反馈增益因子同时进化的学习算法。

A new hybrid learning algorithm NHLA, which combines the variant IBP of algorithm BP and the random optimization algorithm presented by Dr Solis and Wets, is presented.

首先提出变形的BP算法IBP，然后将它与Solis和Wets的随机优化算法相结合，提出了新型混合学习算法NHLA。

Neural network model, principle of learning algorithm, simulation curves and output results are discussed in detail.

对神经网络模型的建立、网络的训练方法、仿真曲线、神经网络的输出结果进行了详细的讨论。

Investigation on Description of Learning Space Based-on Interval Fuzzy Sets and Fuzzy Inductive Learning Algorithm

基于区间值模糊集的学习空间描述及其模糊归纳学习算法研究

A class of neural networks containing direct controlled adaptive neuron and the corresponding fast learning algorithm method are proposed for developing this new humping speed control system.

提出了一种直接控制的自适应神经元模型和神经网络结构，以及一种快速学习算法（FLA），并把该神经网络和算法用于驼峰速度控制系统。

A hybrid learning algorithm for neural network based distance protection

神经网络式距离保护的混合训练算法

Implementation of the Fast Learning Algorithm lor Multilayer Feed-Forward Neural Networks

多层前馈神经网络快速学习算法的实现

The whole identification process takes much less CPU time than the fuzzy clustering method and the error-feedback learning algorithm.

整个辨识过程与模糊聚类方法[8]和误差反馈学习方法[5]相比所需的CPU时间最短。

A learning algorithm based on Lyapunov stability is derived to fuzzy relational model identification in this paper.

本文在李雅普诺夫稳定性意义下，提出了一种辨识模糊关系模型的学习算法。

With the purpose of constructing a large scale of KBS for high performance learning algorithm, a multi-concept learning algorithm is realized in this paper. The learnable performance and complexity of the algorithm are analyzed and the advantages of this algorithm proved by experiments.

为满足大规模知识库系统建设对于高性能学习算法的需要，本文实现了一个面向通用问题的多概念学习算法，分析了算法的可学习性和复杂性，并通过实验验证了该算法的优点。

The reinforcement learning method is used in Agent learning, the TS type recurrent fuzzy neural network ( TSRFNN) is employed to realize the actor-critic elements. The agents in system are optimized coordinately by using the distributed learning algorithm.

在控制Agent中采用Actor-critic强化学习方法，运用TS回归模糊神经网络实现行动和评判模块，使用分布式学习算法对多个Agent协调优化。

This model uses support vector machines ( SVM) which has strong learning ability and needs only less number of samples as its learning algorithm, and uses the characteristic quantities which could characterize the furnace mouth flame spectral data to improve the efficiency of model training.

该模型采用学习能力强、对样本数目要求不高的支持向量机作为学习算法，以能表征炉口火焰光谱数据的特征量作为样本数据来提高模型的训练效率。

and a machine learning algorithm was proposed to handle the assignment of secondary accent.

而次重音的标注完全通过机器学习算法来进行。

Also the BP learning algorithm is studied as well.

同时还研究了BP网络的自适应算法.

An Immune Learning Algorithm Using Real Numeric Code

一种实数编码的免疫学习算法

Experiments show that multi-label covering algorithm performs at par with other multi-label learning algorithms and has the advantage of lower time/ space cost.

实验表明，多标记覆盖算法的性能达到了同类算法中的先进水平，并且在时空开销上具有优势。

Using Quantum Genetic Algorithm to Improve BP Learning Algorithm

利用量子遗传算法改进BP学习算法