Глоссариум по искусственному интеллекту: 2500 терминов. Том 2

ru/books?id= -w2DEAAAQBAJ&pg=PT301&lpg= PT301&dq=algorithms+and +protocols+for+decentralized+storage+and+processing+of +transactions +structured+as+a+sequence+of+linked+blocks+without+the+ possibility +of+their+subsequent+change&source =bl&ots=ruX5Ow4F-g&sig= ACfU3U0fmUw6tcXOQoRbPdWNAfwf5AFYWQ&hl =ru&sa=X&ved=2ahUKEwjmpsrjx_ 79AhWDmIsKHQqDBvMQ6AF6BAgrEAM#v= onepage&q=algorithms%20and %20protocols%20for %20decentralized%20storage%20and%20processing %20of%20transactions %20structured%20as%20a%20sequence %20of%20linked%20blocks %20without%20the %20possibility%20of%20their% 20subsequent %20change&f=false (дата обращения: 28.

03.2023)].

Boltzmann machine (also stochastic Hopfield network with hidden units) is a type of stochastic recurrent neural network and Markov random field. Boltzmann machines can be seen as the stochastic, generative counterpart of Hopfield networks[177 - Boltzmann machine [Электронный ресурс] https://dic.academic.ru URL: https://dic.academic.ru/dic.nsf/ruwiki/1828062 (дата обращения: 04.

02.2022)].

Boolean neural network is an artificial neural network approach which only consists of Boolean neurons (and, or, not). Such an approach reduces the use of memory space and computation time. It can be implemented to the programmable circuits such as FPGA (Field-Programmable Gate Array or Integrated circuit).

Boolean satisfiability problem (also propositional satisfiability problem; abbreviated SATISFIABILITY or SAT) is the problem of determining if there exists an interpretation that satisfies a given Boolean formula.

In other words, it asks whether the variables of a given Boolean formula can be consistently replaced by the values TRUE or FALSE in such a way that the formula evaluates to TRUE. If this is the case, the formula is called satisfiable. On the other hand, if no such assignment exists, the function expressed by the formula is FALSE for all possible variable assignments and the formula is unsatisfiable[178 - Boolean satisfiability problem A. de Carvalho M. C. Fairhurst D.L. Bisset, An integrated Boolean neural network for pattern classification. Pattern Recognition Letters Volume 15, Issue 8, August 1994, Pages 807—813 (дата обращения: 10.02.2022)].

Boosting is a Machine Learning ensemble meta-algorithm for primarily reducing bias and variance in supervised learning, and a family of Machine Learning algorithms that convert weak learners to strong ones[179 - Boosting [Электронный ресурс] https://en.wikipedia.