Speech Recognition Model Based on Recurrent Neural Networks

An evolutionary algorithm of constructs recurrent neural Networks

一种训练循环神经网络的演化算法

互联网摘选

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

互联网摘选

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

互联网摘选

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

互联网摘选

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

互联网摘选

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

互联网摘选

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。

互联网摘选

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。

互联网摘选

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

互联网摘选

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

互联网摘选

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

互联网摘选

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。

互联网摘选

Research of Distributed Power Generation System Based on Multi-Agent Co-operation Strengthens Study

基于Multi-Agent协作强化学习的分布式发电系统的研究

互联网摘选

An algorithm of reinforcement learning for finite-horizon Markov decision processes

一种有限时段Markov决策过程的强化学习算法

互联网摘选

Fourthly, leaning agent adjusts the domain model and user model adaptively by reinforcement learning and genetic algorithm.

第四，作者研究了学习Agent使用强化学习、遗传算法自适应地调整领域模型和用户模型。

互联网摘选

Option Automatic Generation in Hierarchical Reinforcement Learning

分层强化学习中的Option自动生成算法

互联网摘选

A Novel Multi-Agent Reinforcement Learning Approach

一种新颖的多agent强化学习方法

互联网摘选

Intention Tracking Based Reinforcement Learning Agent Model

一种基于意图跟踪和强化学习的agent模型

互联网摘选

A multi-agent coordination model and corresponding algorithm based on distributed reinforcement learning are proposed.

提出了一种基于分布式强化学习的多Agent协调模型并给出了相应的算法。

互联网摘选

A learning agent based on Reinforcement Learning

一种基于强化学习的学习Agent

互联网摘选