Multilayer probability extreme learning machine for device-free localization

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction

Device-free localization (DFL) is becoming one of the new technologies in wireless localization field, due to its advantage that the target to be localized does not need to be attached to any electronic device. In the radio-frequency (RF) DFL system, radio transmitters (RTs) and radio receivers (RXs) are used to sense the target collaboratively, and the location of the target can be estimated b...

متن کامل

Hierarchical extreme learning machine based reinforcement learning for goal localization

The objective of goal localization is to find the location of goals in noisy environments. Simple actions are performed to move the agent towards the goal. The goal detector should be capable of minimizing the error between the predicted locations and the true ones. Few regions need to be processed by the agent to reduce the computational effort and increase the speed of convergence. In this pa...

متن کامل

Device-Free Passive Localization

This report describes a Device-Free Passive Localization System (DfP). The system provides a software solution over nominal WiFi equipment to detect the presence and track intruders in an area of interest. The system is based on measuring the changes in the received RSSI at a fixed receiver form a fixed transmitter. Using RSSI values for multiple transmitters and monitoring points, we show a sy...

متن کامل

Extreme Learning Machine

Slow speed of feedforward neural networks has been hampering their growth for past decades. Unlike traditional algorithms extreme learning machine (ELM) [5][6] for single hidden layer feedforward network (SLFN) chooses input weight and hidden biases randomly and determines the output weight through linear algebraic manipulations. We propose ELM as an auto associative neural network (AANN) and i...

متن کامل

Device-Free Indoor Localization for AAL Applications

We present a device-free localization method oriented to Ambient Assisted Living applications. The system exploits the received signal strength (RSS) measured by fixed wireless communications devices, whose position is known a priori, in order to localize a person in the transmission coverage area. The proposed localization system is passive, by not requiring the user to wear anything, and is a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Neurocomputing

سال: 2020

ISSN: 0925-2312

DOI: 10.1016/j.neucom.2018.11.106