An Associative Memory Model Based on Recurrent Multi-layer Neural Networks

After feeding a type of artificial intelligence ( AI) known as a recurrent neural network the roughly 5000 pages of Martin's five previous books of "A Song of Ice and Fire," software engineer Zack Thoutt has used the algorithm to predict what will happen next.

软件工程师扎克·图特让一种名为循环神经网络的人工智能学习了马丁所写的《冰与火之歌》前五部约5000页的内容，然后利用该算法预测接下来的情节。

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Currently, RNNLM is not capable of implementing global themes or features, such as a set topic, within its sentence generation. Each sentence produced by the algorithms doesn't necessarily flow smoothly into the next.

目前循环神经网络语言模型的组句部分尚不具备处理包括设定题目在内的全局主题和特征的能力，而这种算法产生的句子在前后衔接得并不顺畅。

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A recurrent neural network is a specific subclass, which works best when it comes to processing long sequences of data, such as lengthy text from five previous books.

一个循环神经网络是一个特定的子集，最擅长处理长的数据序列，比如《冰与火之歌》前5部冗长的文本。

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It appears special construction, excellent short-term memory, facile learning approach, stunning non-linearity that former RNN never done.

其独特的结构，良好的短期记忆能力，方便的学习方法，不俗的非线性特性是以前循环神经网络所不可比的。

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An approach to compensating sensor drift based on recurrent neural networks is discussed in the paper.

本文讨论了一种基于循环神经网络的传感器补偿新方法。

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Recurrent Neural Network-based Identification Modeling Study

基于循环神经网络的辨识建模研究

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An RNN-Based Approach to Compensating Sensor Drift

基于循环神经网络的传感器漂移补偿方法

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Speech Recognition Model Based on Recurrent Neural Networks

基于循环神经网络的语音识别模型

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An evolutionary algorithm of constructs recurrent neural Networks

一种训练循环神经网络的演化算法

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Multisense Information mixing System Based on Round Nerve Network

基于循环神经网络的多传感信息融合系统的应用

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Recurrent Neural Network Modeling and Its Application in Nonlinear Predictive Control

循环神经网络建模在非线性预测控制中的应用

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W-CDMA Systems Power Control Based on Circular Neural Networks

基于循环神经网络的宽带CDMA系统的功率控制

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Aircraft target recognition based on radar range profile sequences using recurrent neural network

基于雷达距离象序列的循环神经网络飞机目标识别

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Identification of nonlinear based on high order diagnoal recurrent neural network

高阶对称循环神经网络的非线性辨识

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Q-learning algorithm in the reinforcement learning needs a lot of storage space while solving the more complex problems.

而强化学习中的Q学习算法在解决较为复杂问题时，需要大量的存储空间，忆阻交叉阵列恰好能够解决这个问题。

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Q learning algorithm is the most popular reinforcement learning algorithm, but the algorithm exist some problems.

目前主流的强化学习算法是Q学习算法，但Q学习本身存在一些问题。

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An Efficient Solution Algorithm Based on Reinforcement Learning for Some NP Problems

基于强化学习的一类NP问题求解算法

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Adaptive Fuzzy RBF Networks Learning for Autonomous Multi-robots

自适应模糊RBF神经网络的多智能体机器人强化学习

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Mobile Robot Local Path Planning Based on Q Reinforcement Learning and CMAC

基于Q强化学习与CMAC的移动机器人局部路径规划

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Reinforcement learning is the main kind of learning method, which is recognized as an ideal technology to construct the intelligent agent.

在Agent的学习中，强化学习是其中主要的一类学习方法，被公认为是构成Agent的核心技术之一。

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