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Created page with "'''Home * Engines * Kristallweizen''' FILE:Hefeweizen and kristallweizen.jpg|border|right|thumb| Kristallweizen and Hefeweizen (right) <ref>A [https://com..."
'''[[Main Page|Home]] * [[Engines]] * Kristallweizen'''
[[FILE:Hefeweizen and kristallweizen.jpg|border|right|thumb| Kristallweizen and Hefeweizen (right) <ref>A [https://commons.wikimedia.org/wiki/File:Hefeweizen_and_kristallweizen.jpg photograph] of two varieties of [https://en.wikipedia.org/wiki/Wheat_beer wheat beer]: Kristallweizen (left) and Hefeweizen (right), filtered and unfiltered [https://en.wikipedia.org/wiki/Beer_in_Germany German wheat beers]</ref> ]]
'''Kristallweizen''',<br/>
a [[Shogi]] engine, or more precisely a Shogi evaluation function by team '''Barrel house''', a beer bar in front of the [https://en.wikipedia.org/wiki/Okayama Okayama] [https://en.wikipedia.org/wiki/Okayama_Station station] <ref>[https://www.facebook.com/Beer-Bar-Barrel-house-304149502997804/ Beer Bar Barrel house - Facebook]</ref>,
due to the developers around [[Seiji Shiba]], [[Mitsunori Matsushita]] and [[Yasuhiro Tajima]] <ref>[https://groups.google.com/d/msg/shogi-l/qL5i9rYFXyw/TqDOnZZSDAAJ The 29th World Computer Shogi Championship Applicant List] by [[Reijer Grimbergen]] on behalf of [[Takenobu Takizawa]], [[Computer Chess Forums|SHOGI-L]], February 03, 2019</ref>.
Kristallweizen became runner-up at the [[WCSC29]] in 2019, where it run in the [https://en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud Amazon Elastic Compute Cloud] and applied [[Pondering|multi pondering]].
Kristallweizen is a [[NNUE]] HalfKP-256x2-32-32 type of evaluation function, used within [[YaneuraOu|YaneuraOu's]] [[Search|search]], a Shogi adaptation of [[Stockfish|Stockfish's]] search.
Further [[CSA]] available engines and libraries used to train and prepare Kristallweizen mentioned on the WCSC29 site <ref>[http://www2.computer-shogi.org/wcsc29/ 第29回世界コンピュータ将棋選手権 - 29th World Computer Shogi Championship]</ref>
were [[Apery]], [[Tanuki]], [[Qhapaq]], [[Elmo]], dlshogi <ref>[https://github.com/TadaoYamaoka/python-dlshogi GitHub - TadaoYamaoka/python-dlshogi]</ref>, python-shogi <ref>[https://github.com/gunyarakun/python-shogi GitHub - gunyarakun/python-shogi: A pure Python shogi library with move generation and validation and handling of common formats.]</ref> and the ''Android Go Player No. 18'' <ref>[https://www.qhapaq.org/shogi/shogiwiki/softs/jk18/ 人造棋士１８号 - django-\/\/ i K | Android Go Player No.18]</ref>.
Kristallweizen may also used with ''Dolphin'', also based on YaneuraOu's (version 4.82) search <ref>[https://www.reddit.com/r/shogi/comments/ew3nic/strongest_free_shogi_engine/?sort=confidence Re: Strongest free shogi engine?] by [https://www.reddit.com/user/km0010/ km0010], [https://en.wikipedia.org/wiki/Reddit Reddit]</ref>
<ref>[https://www.uuunuuun.com/blank-2 使用ソフト | shogi-engines]</ref>.
=Hefeweizen=
Kristallweizen's forerunner, the more unfiltered '''Hefeweizen''' uses an [[Apery]] type of KPP/KKP indexed [[Piece-Square Tables|Piece-Square Tables]] approach, initially introduced by [[Bonanza]],
Hefeweizen won the [[WCSC28]] in 2018, also on the [https://en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud Amazon Elastic Compute Cloud] with [[Pondering|multi ponder]] <ref>[http://www2.computer-shogi.org/wcsc28/ 第28回世界コンピュータ将棋選手権 - 28th World Computer Shogi Championship]</ref>.
=Forum Posts=
* [http://talkchess.com/forum3/viewtopic.php?t=72754 The Stockfish of shogi] by [[Larry Kaufman]], [[CCC]], January 07, 2020
* [https://groups.google.com/g/shogi-l/c/WG2qwzMh3C8/m/kzMeImwlAwAJ Dolphin software] by [[Larry Kaufman]], [[Computer Chess Forums|SHOGI-L]], February 02, 2020
=External Links=
==Shogi Engine==
* [https://github.com/Tama4649/Kristallweizen/ GitHub - Tama4649/Kristallweizen: 第29回世界コンピュータ将棋選手権 準優勝のKristallweizenです。]
* [http://sizer.main.jp/wcsc29/services/kristallweizen/ ristallweizen – 第29回世界コンピュータ将棋選手権 (wcsc29)]
==Misc==
* [https://en.wikipedia.org/wiki/Wheat_beer Wheat beer from Wikipedia]
=References=
<references />
'''[[Engines|Up one Level]]'''
[[Category:Shogi]]
[[Category:NNUE]]
[[Category:USI]]
[[Category:PC]]
[[Category:X64]]
[[Category:Windows]]
[[Category:Linux]]
[[Category:Drink]]
[[FILE:Hefeweizen and kristallweizen.jpg|border|right|thumb| Kristallweizen and Hefeweizen (right) <ref>A [https://commons.wikimedia.org/wiki/File:Hefeweizen_and_kristallweizen.jpg photograph] of two varieties of [https://en.wikipedia.org/wiki/Wheat_beer wheat beer]: Kristallweizen (left) and Hefeweizen (right), filtered and unfiltered [https://en.wikipedia.org/wiki/Beer_in_Germany German wheat beers]</ref> ]]
'''Kristallweizen''',<br/>
a [[Shogi]] engine, or more precisely a Shogi evaluation function by team '''Barrel house''', a beer bar in front of the [https://en.wikipedia.org/wiki/Okayama Okayama] [https://en.wikipedia.org/wiki/Okayama_Station station] <ref>[https://www.facebook.com/Beer-Bar-Barrel-house-304149502997804/ Beer Bar Barrel house - Facebook]</ref>,
due to the developers around [[Seiji Shiba]], [[Mitsunori Matsushita]] and [[Yasuhiro Tajima]] <ref>[https://groups.google.com/d/msg/shogi-l/qL5i9rYFXyw/TqDOnZZSDAAJ The 29th World Computer Shogi Championship Applicant List] by [[Reijer Grimbergen]] on behalf of [[Takenobu Takizawa]], [[Computer Chess Forums|SHOGI-L]], February 03, 2019</ref>.
Kristallweizen became runner-up at the [[WCSC29]] in 2019, where it run in the [https://en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud Amazon Elastic Compute Cloud] and applied [[Pondering|multi pondering]].
Kristallweizen is a [[NNUE]] HalfKP-256x2-32-32 type of evaluation function, used within [[YaneuraOu|YaneuraOu's]] [[Search|search]], a Shogi adaptation of [[Stockfish|Stockfish's]] search.
Further [[CSA]] available engines and libraries used to train and prepare Kristallweizen mentioned on the WCSC29 site <ref>[http://www2.computer-shogi.org/wcsc29/ 第29回世界コンピュータ将棋選手権 - 29th World Computer Shogi Championship]</ref>
were [[Apery]], [[Tanuki]], [[Qhapaq]], [[Elmo]], dlshogi <ref>[https://github.com/TadaoYamaoka/python-dlshogi GitHub - TadaoYamaoka/python-dlshogi]</ref>, python-shogi <ref>[https://github.com/gunyarakun/python-shogi GitHub - gunyarakun/python-shogi: A pure Python shogi library with move generation and validation and handling of common formats.]</ref> and the ''Android Go Player No. 18'' <ref>[https://www.qhapaq.org/shogi/shogiwiki/softs/jk18/ 人造棋士１８号 - django-\/\/ i K | Android Go Player No.18]</ref>.
Kristallweizen may also used with ''Dolphin'', also based on YaneuraOu's (version 4.82) search <ref>[https://www.reddit.com/r/shogi/comments/ew3nic/strongest_free_shogi_engine/?sort=confidence Re: Strongest free shogi engine?] by [https://www.reddit.com/user/km0010/ km0010], [https://en.wikipedia.org/wiki/Reddit Reddit]</ref>
<ref>[https://www.uuunuuun.com/blank-2 使用ソフト | shogi-engines]</ref>.
=Hefeweizen=
Kristallweizen's forerunner, the more unfiltered '''Hefeweizen''' uses an [[Apery]] type of KPP/KKP indexed [[Piece-Square Tables|Piece-Square Tables]] approach, initially introduced by [[Bonanza]],
Hefeweizen won the [[WCSC28]] in 2018, also on the [https://en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud Amazon Elastic Compute Cloud] with [[Pondering|multi ponder]] <ref>[http://www2.computer-shogi.org/wcsc28/ 第28回世界コンピュータ将棋選手権 - 28th World Computer Shogi Championship]</ref>.
=Forum Posts=
* [http://talkchess.com/forum3/viewtopic.php?t=72754 The Stockfish of shogi] by [[Larry Kaufman]], [[CCC]], January 07, 2020
* [https://groups.google.com/g/shogi-l/c/WG2qwzMh3C8/m/kzMeImwlAwAJ Dolphin software] by [[Larry Kaufman]], [[Computer Chess Forums|SHOGI-L]], February 02, 2020
=External Links=
==Shogi Engine==
* [https://github.com/Tama4649/Kristallweizen/ GitHub - Tama4649/Kristallweizen: 第29回世界コンピュータ将棋選手権 準優勝のKristallweizenです。]
* [http://sizer.main.jp/wcsc29/services/kristallweizen/ ristallweizen – 第29回世界コンピュータ将棋選手権 (wcsc29)]
==Misc==
* [https://en.wikipedia.org/wiki/Wheat_beer Wheat beer from Wikipedia]
=References=
<references />
'''[[Engines|Up one Level]]'''
[[Category:Shogi]]
[[Category:NNUE]]
[[Category:USI]]
[[Category:PC]]
[[Category:X64]]
[[Category:Windows]]
[[Category:Linux]]
[[Category:Drink]]
