Ranking Alexa Global: # 6,510,406
Server:LiteSpeed...
The main IP address: 159.69.58.176,Your server United States,Jacksonville ISP:Rayonier TLD:net CountryCode:US
The description :gmdh approach was applied in very different areas for data mining and knowledge discovery, forecasting and fuzzy systems modelling, prediction, structure optimization in expert systems, clustering by ...
This report updates in 09-Jan-2019
Created Date: | 2001-12-13 |
Changed Date: | 2018-07-28 |
Geo IP provides you such as latitude, longitude and ISP (Internet Service Provider) etc. informations. Our GeoIP service found where is host gmdh.net. Currently, hosted in United States and its service provider is Rayonier .
Latitude: | 30.292821884155 |
Longitude: | -81.630760192871 |
Country: | United States (US) |
City: | Jacksonville |
Region: | Florida |
ISP: | Rayonier |
HTTP Header information is a part of HTTP protocol that a user's browser sends to called LiteSpeed containing the details of what the browser wants and will accept back from the web server.
Content-Length: | 5324 |
Content-Encoding: | gzip |
Accept-Ranges: | bytes |
Vary: | Accept-Encoding |
Server: | LiteSpeed |
Last-Modified: | Sun, 23 Sep 2018 00:05:25 GMT |
Connection: | Keep-Alive |
Date: | Wed, 09 Jan 2019 12:40:39 GMT |
Content-Type: | text/html |
soa: | deprmns25.fastcpanelserver.com. admin.fastcpanelserver.com. 2018092203 3600 7200 1209600 86400 |
txt: | "v=spf1 ip4:159.69.58.176 +a +mx +ip4:148.251.177.197 ~all" |
ns: | secns20.fastcpanelserver.com. deprmns25.fastcpanelserver.com. |
ipv4: | IP:159.69.58.176 ASN:24940 OWNER:HETZNER-AS, DE Country:DE |
mx: | MX preference = 0, mail exchanger = gmdh.net. |
group method of data handling * was applied in a great variety of areas for deep learning and knowledge discovery, forecasting and data mining, optimization and pattern recognition. inductive gmdh algorithms give possibility to find automatically interrelations in data, to select an optimal structure of model or network and to increase the accuracy of existing algorithms. this original self-organizing approach is different from deductive methods used for modeling. it has inductive nature - it finds the best solution by sorting-out of possible variants. by sorting of different solutions gmdh networks aims to minimize the influence of the author on the results of modeling. computer itself finds the structure of the optimal model or laws that act in a system. group method of data handling is a set of several algorithms for different problems solution. it consists of parametric, clusterization, analogues complexing, rebinarization and probability algorithms. this inductive approach is based on sorting-out of gradually complicated models and selection of the optimal solution by minimum of external criterion characteristic. not only polynomials but also non-linear, probabilistic functions or clusterizations are used as basic models. gmdh approach can be useful because: optimal complexity of the model structure is found, adequate to the level of noise in data sample. for real problems, with noised or short data, a simplified optimal models are more accurate. the number of layers and neurons in hidden layers, model structure and other optimal neuran networks parameters are determined automatically. it guarantees that the most accurate or unbiased models will be found - method doesn't miss the best solution during sorting of all variants (in the given class of functions). as input variables are used any non-linear functions or features, which can influence the output variable. it automatically finds interpretable relationships in data and selects effective input variables. gmdh sorting algorithms are rather simple for software development. twice-multilayered neural nets can be used to increase the accuracy of another modelling algorithms. method get information directly from data sample and minimizes influence of apriori author assumptions about results of modeling. approach gives possibility to find objective physical model of object (law or clusterization) - one and the same for future samples. it was implemented in the many commercial software tools. * gmdh is known also as polynomial neural networks, abductive and statistical learning networks gmdh news conference the 10th international workshop of inductive modelling iwim'2018 as part of the conference "computer science and information technologies" csit'2018 was held in lviv, ukraine publications the book 'complex systems modelling by experimental data' was added to library software two data modeling tools, insights and ockham were released for macos gmdh shell is the advanced tool for demand and inventory forecasting gmdh pnn algorithm is available for on-line computation on the first and second sites.
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Whois is a protocol that is access to registering information. You can reach when the website was registered, when it will be expire, what is contact details of the site with the following informations. In a nutshell, it includes these informations;
Domain Name: GMDH.NET
Registry Domain ID: 81159422_DOMAIN_NET-VRSN
Registrar WHOIS Server: whois.moniker.com
Registrar URL: http://www.moniker.com
Updated Date: 2018-07-28T00:28:08Z
Creation Date: 2001-12-13T18:12:54Z
Registry Expiry Date: 2019-12-13T18:12:54Z
Registrar: Moniker Online Services LLC
Registrar IANA ID: 228
Registrar Abuse Contact Email: [email protected]
Registrar Abuse Contact Phone: +49.68949396850
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Name Server: DENS22.FASTCPANELSERVER.COM
Name Server: NCSECNS.FASTCPANELSERVER.COM
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
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REGISTRAR Moniker Online Services LLC
SERVERS
SERVER net.whois-servers.net
ARGS domain =gmdh.net
PORT 43
TYPE domain
DOMAIN
NAME gmdh.net
CHANGED 2018-07-28
CREATED 2001-12-13
STATUS
clientTransferProhibited https://icann.org/epp#clientTransferProhibited
NSERVER
DENS22.FASTCPANELSERVER.COM 159.69.58.176
NCSECNS.FASTCPANELSERVER.COM 51.75.64.141
REGISTERED yes
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