用SPSS统计分析评估区块链与人工智能

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引用次数: 0

摘要

区块链是所有交易的点对点网络,是一个分散的分类账。这一代通过使用,个人拥有了强制性的结算权限,交易可以不需要确认,可能的应用还可能包括货币交易、结算交易、投票和许多其他麻烦。区块链定义:区块链是一种共享的、不可变的账本,在企业网络中记录交易和资产,简化监控过程。资产可以是有形的(房子、汽车、货币土地)或无形的(超级财产、专利、版权、品牌)。比特币和以太坊是区块链的流行例子。每个人都被授权与区块链连接并在其上进行交易。大多数智能程序通过使用机器,特别是计算机系统。特别是人工智能专家系统,草药语言包括处理,语音识别和小工具富有想象力和先见之明。与将记录存储在集中的关系型桌面中的流行数据库不同,区块链是一个开放的点对点(P2P)网络,支持公共爱好,而不是集中控制实体。在区块链中,事实是在被称为块的组织中积累起来的。人工智能(AI)允许机器从经验中进行研究,对输入进行新的适应,并执行人类的职责。你最近听到的大多数人工智能例子,从下棋的计算机到自动驾驶的深度知识,再到汽车获取和自然语言,高度依赖于处理。AI在每一步所做的选择是通过使用之前积累的数据和一组选定的规则来决定的。如果计划得当,这些错误可以减少到0。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Block Chain and Artificial Intelligence using SPSS Statistics Analysis
Block chain is a peer-to-peer network of all transactions in is a decentralized ledger. This generation By using, individuals have a mandatory settlement authority Transactions can be confirmed without needing to Possible applications might also consist of monetary transactions, settlement trades, voting, and lots of other troubles. Block chain Defined: Block chain is a shared, immutable ledger is, in an enterprise network Recording of transactions and assets Simplifies the monitoring process An asset can be tangible (a house, car, money land) or intangible (hyper properties, patents, copyrights, branding). Bit coin and Ethereum are popular examples of block chains. Everyone is authorized to connect with the block chain and transact on it. Most intelligence procedures by Using machines, especially computers systems. In particular sets of AI Expert systems, herbal language Includes processing, speech recognition and gadget imaginative and prescient. Unlike trendy databases that store records in a centralized, relational desk, block chain is an open, peer-to-peer (P2P) network that supports communal hobby as opposed to a centralized controlling entity. In block chain, facts is accumulated in organizations known as blocks Artificial Intelligence (AI) allows machines to Research from Experience, New Adaptation to inputs and Performing human duties Most AI examples you listen approximately these days From chess-gambling computers to self-driving deep knowledge – up to cars acquisition and natural language Highly dependent on processing.. The selections AI takes at each step are determined by using previously accumulated data and a selected set of rules. If planned properly, those errors may be reduced to 0.
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