搜索资源列表
-
0下载：
very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document -very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classificatio
-
-
0下载：
人脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容。如今，虽然在这方面的研究已取得了一些可喜的成果-Face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also
-
-
0下载：
This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data
-
-
0下载：
Written for the novice AI programmer, AI for Game Developers introduces you to techniques such as finite state machines, fuzzy logic, neural networks, and many others, in straightforward, easy-to-understand language, supported with code samples throu
-
-
0下载：
本文提出特征参数统计值的概念，即对连续的多段信
特征参数后，所求取的多组参数中各参数的最大值、最小值及二
以此作为输入参数，利用基于BP神经网络和决策理论的模式识
星统一载波测控体制中典型的调制方式进行了识别，包括2FSK
)、4FSK、BPSK、QPSK、MSK、PM、CW-In this paper, the concept of characteristic parameters of statistics, that the letter of the continuou
-
-
0下载：
The decoding of Low Density Parity Check (LDPC) codes through the iterative process of belief propagation presents practical challenges for designers looking for real time performance in communication systems. Due to the geometric and finite pattern
-
-
0下载：
This chapter introduces a new computational intelligence paradigm to perform
pattern recognition, named Artificial Immune Systems (AIS). AIS take inspiration
from the immune system in order to build novel computational tools to solve
problems i
-
-
0下载：
In this tutorial we present a brief introduction to SVM, and we discuss about SVM published papers, workshop materials & material collected books and material available online on the World Wide Web. In the beginning we try to define SVM and try to ta
-
