{"id":23552,"date":"2013-05-14T10:50:24","date_gmt":"2013-05-14T05:20:24","guid":{"rendered":"http:\/\/vskills.in\/certification\/tutorial\/?p=23552"},"modified":"2024-04-12T14:17:19","modified_gmt":"2024-04-12T08:47:19","slug":"techniques-used-neural-network-statistics-fuzzy-logic-genetic-algorithms","status":"publish","type":"page","link":"https:\/\/www.vskills.in\/certification\/tutorial\/techniques-used-neural-network-statistics-fuzzy-logic-genetic-algorithms\/","title":{"rendered":"Business Intelligence Tutorial | Techniques used"},"content":{"rendered":"\n

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Free Business Intelligence Practice Tests - Data Analytics Test<\/strong><\/a><\/pre>\n
Techniques used<\/h1>\n<\/div>\n
Till now we had discussed what \u201cData Analytics\u201d is and what the types of \u201cData Analytics\u201d are. But now let\u2019s understand the techniques used for \u201cData Analytics\u201d. The most commonly and widely used technique for \u201cData analytics\u201d is \u201cStatistical Methods\u201d. The other methods which also contribute in \u201cData Analytics\u201d methods are\u00a0Neural Network, Statistics & Fuzzy Logic, & \u201cGenetic Algorithm\u201d. Let\u2019s discuss Neural Network, Statistics & Fuzzy Logic one by one.<\/p>\n
Neural Network<\/strong><\/p>\n
Neural Network is one of widely used technology for the analysis of data. A neural network works similar to the human brain which is composed of neurons. Its name is derived from the same concept. Basically a neural network is based on small chunks known as neurons, which combine together to form the complete neural network. The logic of neural network is defined through these neurons. Some neurons are only composed of weights to form a simple neural network while some are composed of complex calculations to form neural network. The outcome of neural network is decided by these weights or calculations.<\/p>\n
For example, a neural network might be used for handwriting recognition, or for voice recognition. Sometime neural network recognition techniques used only partial match method which might be impossible with algorithms. The inspiration behind for neural network is human brain.<\/p>\n
\"Neural<\/a> \"Neural<\/a><\/p>\n
As from the figure it is clear that, a human body neuron takes several inputs from brain, combine them together and transfer that message to different body part. Similarly a neural network takes several inputs, calculates their weights, combine them together again perform summation operation with new weights and finally comes out with an output. <\/span><\/p>\n
Statistics<\/strong><\/p>\n
As the name suggest, the Statistical Methods has to do something with statistic. In actual it deals with the meaningful quantities of events, objects, persons etc. This method is very popular with \u201csocial science data analysts\u201d.\u00a0 The statistical method de-synthesizes data, information or any factual object or element to answer the research query. It\u2019s approach it to use a systematic process to answer the research query. The statistical method has two main approaches<\/p>\n