神经网络理论上可以任意精度逼近任意非线性过程
English translation: Neural networks can approximate theoretically an arbitrary nonlinear process to any desired degree..
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| 11:42 Aug 15, 2013 |
| Chinese to English translations [PRO] Nuclear Eng/Sci | |||||
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|  Selected response from: QHE United States Local time: 06:33 | ||||
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Answers
37 mins confidence: 
Not my area, but... Explanation: It's something like: neural networks allow for approximation of a nonlinear process to any degree of precision |
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45 mins confidence: peer agreement (net): +1
peer agreement (net): +1Theoretically, neural networks can approximate any nonlinear process to any precision Explanation: Theoretically, neural networks can approximate any nonlinear process to any precision, and hence they are ideal for function approximation and forecasting. |
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10 hrs confidence:
Neural networks can approximate theoretically an arbitrary nonlinear process to any desired degree.. Explanation: Neural networks can approximate theoretically an arbitrary nonlinear process to any desired degree of accuracy. 全句可译为： Neural networks (NNs) can approximate theoretically an arbitrary nonlinear process to any desired degree of accuracy; therefore, NNs are very applicable to function approximation and prediction. Using Accuracy vs. Precision: Accuracy refers to the closeness of a measured value to the actual value. Precision refers to the closeness of two or more measurements to each other. Precision is independent of accuracy; you can be very precise but inaccurate. |
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