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人工智能/神经网络 This program demonstrates some function approximation capabilities of a Radial Basis Function Networ

This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for ...
https://www.eeworm.com/dl/650/165307.html
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Applet Predefined Style options define the style by setting several other options. If other options are als

Predefined Style options define the style by setting several other options. If other options are also used, the placement of the predefined style option in the command line is important. If the predefined style option is placed first, the other options may override the predefined style. If placed la ...
https://www.eeworm.com/dl/634/195989.html
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其他书籍 The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for the cod

The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for the coding (compression) of natural video images. The new standard [1] will be known as H.264 and also MPEG-4 Part 10, “Advanced Video Coding”. The standard specifies two types of entropy coding: Context-ba ...
https://www.eeworm.com/dl/542/231560.html
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其他书籍 The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for the cod

The Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG are finalising a new standard for the coding (compression) of natural video images. The new standard [1] will be known as H.264 and also MPEG-4 Part 10, “Advanced Video Coding”. The standard specifies two types of entropy coding: Context-ba ...
https://www.eeworm.com/dl/542/231562.html
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其他书籍 IEEE Std 1180-1990. IEEE Standard Specifications for the Implementations of 8x8 Inverse Discrete Cos

IEEE Std 1180-1990. IEEE Standard Specifications for the Implementations of 8x8 Inverse Discrete Cosine Transform, specifies the numerical characteristics of the 8x8 inverse discrete cosine transform (IDCT) for use in visual telephony and similar applications where the 8x8 IDCT results are used in a ...
https://www.eeworm.com/dl/542/253279.html
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其他 CANopen is a networking system based on the CAN serial bus. CANopen assumes that the device’s hardw

CANopen is a networking system based on the CAN serial bus. CANopen assumes that the device’s hardware has a CAN transceiver and CAN controller as specified in ISO 11898. CANopen profile family specifies standardized communication mechanisms and device functionality. The profile family is available ...
https://www.eeworm.com/dl/534/267283.html
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文章/文档 javascript中文教程 <INPUT TYPE="button" NAME="objectName" VALUE="buttonText" [onClick="hand

javascript中文教程 <INPUT TYPE="button" NAME="objectName" VALUE="buttonText" [onClick="handlerText"]> NAME specifies the name of the button object as a property of the enclosing form object and can be accessed using the name property. VALUE specifies the label to display on the button face and ...
https://www.eeworm.com/dl/652/269182.html
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Jsp/Servlet an application that finds the smallest of several integers. Assume that the first value read specif

an application that finds the smallest of several integers. Assume that the first value read specifies the number of values to input from the user
https://www.eeworm.com/dl/696/292116.html
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数值算法/人工智能 Batch version of the back-propagation algorithm. % Given a set of corresponding input-output pairs

Batch version of the back-propagation algorithm. % Given a set of corresponding input-output pairs and an initial network % [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the % network with backpropagation. % % The activation functions must be either linear or tanh. The network ...
https://www.eeworm.com/dl/518/384083.html
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人工智能/神经网络 % Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is p

% Train a two layer neural network with the Levenberg-Marquardt % method. % % If desired, it is possible to use regularization by % weight decay. Also pruned (ie. not fully connected) networks can % be trained. % % Given a set of corresponding input-output pairs and an initial % network, % ...
https://www.eeworm.com/dl/650/384092.html
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