搜索资源列表
nnprune
- This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural network models of dynamic systems. That is networks ％ trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive ％ counterparts.-This function applies the
PR_AI_code
- 这是《精通VC++数字图像模式识别技术及工程实践[第2版]》光盘源代码，其中包括EM算法、fisher判别函数、HMM隐马尔科夫模型、BP神经网络、小波变换、alpha-beta剪枝、A*算法等，还包含几个纹理分析、人脸定位、字符识别、车牌号识别、8数码、黑白棋、离线/在线签名等实例，因此对于学习模式识别、人工智能的朋友们都大有裨益。光盘中的素材请见另外一个资源。-This is " proficient in VC++ Digital Image Pattern Recognitio
skeletonization
- 这是神经网络里面结构优化里面重要的剪枝方法之一，灵敏度剪枝方法。-This is a neural network structure optimization inside one of the methods inside the major pruning, sensitivity pruning method.
Alpha_Beta
- 基于VC++的神经网络剪枝算法程序；“剪枝算法”是一种通过简化神经网络结构来避免网络过拟合的有效方法之一。内附程序说明文档，介绍了该算法的主要原理，运行结果说明以及程序流程图。是很好的学习资料-VC++ based on neural network pruning algorithm program " pruning algorithm" is a kind of neural networks by simplifying the network architectur
jianzhi
- 神经元网络结构优化和调整的剪枝算法程序源码（附带中文解释）-Neural network pruning algorithm optimization and adjustment of program source code (with Chinese interpretation)
Othello
- 经典的黑白棋游戏，其中设计并实现了多种黑白棋的人工智能算法，其中使用了BP神经网、决策树、优化启发搜索剪枝等算法。并实现了多种算法对战平台，进行算法间的对弈和比分统计，以供进一步研究黑白棋算法。其中，该系统中的高智能算法已经在同类黑白棋软件的棋力中占上游水平。-Classic black and white chess game, in which artificial intelligence algorithm of many kinds of Othello was proposed an
handwritten-digits-recognition
- 用Skeletonization剪枝方法精简BP神经网络结构，提高网络泛化能力，对手写数字进行识别。-Skeletonization pruning method using BP neural network architecture to streamline and improve the network generalization ability of the handwritten digits recognition.
WudaoChess
- 用神经网络，α-β剪枝以及进化算法实现五道棋程序的智能。Java编写，没有添加界面部分，仅仅是控制台上的程序。-Neural network, α-β pruning and evolutionary algorithms five Dao intelligent program. Written in Java, do not add the interface part, merely procedural console.
SiziChess
- 实现了四子棋的功能，由Java编写，有界面部分，运用了神经网络、进化算法、剪枝算法-To achieve a four-game features, written by Java, there is part of the interface, the use of neural networks, evolutionary algorithms, pruning algorithm
Dynamic_Deep_Neural_Networks
- We introduce Dynamic Deep Neural Networks (D2NN), a new type of feed-forward deep neural network that allows selective execution. Given an input, only a subset of D2NN neurons are executed, and the particular subset is determined by the D2NN itse