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人工智能/神经网络 aiParts is a set of C++ classes that can be used to develop artificial intelligence for multi-decisi
aiParts is a set of C++ classes that can be used to develop artificial intelligence for multi-decision problems. It includes classes that implement the High-Hope technique and some sample programs.
压缩解压 Generate random bits, convert to bipolar, corrupt the message by passing through noise and decode us
Generate random bits, convert to bipolar, corrupt the message by passing through noise and decode using hard decision decoding and calculate BER
文件格式 I would like to thank my advisor, Dr. A. Lynn Abbott, for helping me throughout my research, Gary F
I would like to thank my advisor, Dr. A. Lynn Abbott, for helping me throughout
my research, Gary Fleming and the rest of the people at NASA Langley who provided all
the flight information and image sequences, and my parents who supported me in my
decision to enter graduate study. Also, thanks to Ph ...
书籍 The+LTE-SAE+Deployment+Handbook
Long-TermEvolution(LTE)isarguablyoneofthemostimportantstepsinthecurrentphaseof
the development of modern mobile communications. It provides a suitable base for enhanced
services due to increased data throughput and lower latency figures, and also gives extra
impetus to the modernization of telecom a ...
书籍 Metaheuristics+for+Intelligent+Electrical+Networks
This book is the result of works dedicated to specific applications of
metaheuristics in smart electrical grids. From electric transmission,
distribution networks to electric microgrids, the notion of intelligence refers
to the ability to propose acceptable solutions in an increasingly more
restrict ...
书籍 Guide to Convolutional Neural Networks
General paradigm in solving a computer vision problem is to represent a raw image
using a more informative vector called feature vector and train a classifier on top of
feature vectors collected from training set. From classification perspective, there are
several off-the-shelf methods such as gradi ...
书籍 interpretable-machine-learning
Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers
usually do not explain their predictions which is a barrier to the adoption of machine learning.
This book is about making machine learning models and their decisions interpretable.
After exploring the concepts of ...