Training

Location:Training / Machine Learning/Algorithm / Machine learning techniques / RBF Network Learning

You can log in to your eeworld account to continue watching：
RBF Network Learning
Login

Duration：20 minutes and 8 seconds
Date：2018/04/06

Uploader：老白菜

Introduction

keywords： Machine Learning Lin Xuantian

Linear support vector machine, dual support vector machine, kernel support vector machine, soft support vector machine, kernel logistic regression, support vector regression

You Might Like

Recommended Posts

Learn Matlab from scratch: Open the MATLAB programming interface!As shown in the picture, it is better to start typing from the command windows for those who are just starting out. For those who are just starting out, you can d; gaoxiao Microcontroller MCU

EP4CE6E22C8N: I drew a board according to the schematic diagram of this development board, and the voltage regulator chip used is exactly the same, but after my board is powered on, the voltage drop after passing t; RAIN_STU FPGA/CPLD

[MSP430 Sharing] Design of Intelligent Remote Temperature and Humidity Monitoring System: This paper introduces the design of a universal temperature and humidity measurement system, and proposes a design scheme of a multi-point measurement system with a highly integrated temperature and h; 鑫海宝贝 Microcontroller MCU

ARM remote control program: ARM remote control program; darktemple ARM Technology

16-bit comparator: I want the source code of a 16-bit size comparator, VHDL. Is it slow to use if statements? I want to use the corresponding bit XOR, then find the highest bit 1 and XOR the two. What is the simplest wa; qinxuewei101 Embedded System

Please teach me about pyroelectric op amp circuit! ! ! ! ! ! ! ! ! ! ! ! !: I would like to ask you, I [size=10.5pt] use the LM324 in the attachment to build a pyroelectric amplifier circuit, which can detect very short distances. I don’t know why? ? [/size] [size=10.5pt][/si; kingstone168168 Analog electronics

Recommended Content

Hot VideosMore

Hot ArticlesMore

Circuit

可能感兴趣器件

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews

Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京B2-20211791 京ICP备10001474号-1 电信业务审批[2006]字第258号函

京公网安备 11010802033920号