implEMent of SRM Position Check ing Ar ithmetic Ba sed on FPGA
標簽： implEMent Position ithmetic Check
上傳時間： 2013-08-22
上傳用戶：z1191176801
network management, thread implEMent
標簽： management implEMent network thread
上傳時間： 2015-02-07
上傳用戶：yuanyuan123
CORBA orb implEMent
上傳時間： 2015-02-07
上傳用戶：離殤
orb implEMent
上傳時間： 2014-11-26
上傳用戶：ccclll
lpc implEMent for distribut
標簽： implEMent distribut lpc for
上傳時間： 2014-11-30
上傳用戶：wangdean1101
idct mmx technology implEMent
標簽： technology implEMent idct mmx
上傳時間： 2014-12-02
上傳用戶：thinode
Works a client and a server using UDP in asynchronous operation mode to implEMent the simple daytime protocol, as described in RFC 867
標簽： asynchronous implEMent operation daytime
上傳時間： 2015-02-15
上傳用戶：秦莞爾w
自適應(Adaptive)神經網絡源程序 The adaptive Neural Network Library is a collection of blocks that implEMent several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implEMent basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables
標簽： collection implEMent Adaptive adaptive
上傳時間： 2015-04-09
上傳用戶：ywqaxiwang
The adaptive Neural Network Library is a collection of blocks that implEMent several Adaptive Neural Networks featuring different adaptation algorithms.~..~ There are 11 blocks that implEMent basically these 5 kinds of neural networks: 1) Adaptive Linear Network (ADALINE) 2) Multilayer Layer Perceptron with Extended Backpropagation algorithm (EBPA) 3) Radial Basis Functions (RBF) Networks 4) RBF Networks with Extended Minimal Resource Allocating algorithm (EMRAN) 5) RBF and Piecewise Linear Networks with Dynamic Cell Structure (DCS) algorithm A simulink example regarding the approximation of a scalar nonlinear function of 4 variables is included
標簽： Neural collection implEMent Adaptive
上傳時間： 2013-12-23
上傳用戶：teddysha
ARM下 implEMent matrix multiplication of 2 square matrices, with data read from an input file and printed both to the console and to an output file. • Assume a file with correct data (no garbage, characters, etc.). • you must check and provide appropriate execution for 2 extra cases, namely when the matrix size given is either “0” , or when the size is greater than the maximum handled of “5” . In these 2 cases you must implEMent the following behaviour: o If size = 0, then print a message “Size = 0 is unacceptable” and continue by reading the next size for the next 2 matrices (if not end of file). o If size >5, then print two messages: “Size is too big - unacceptable”. Then read and discard the next (size2 ) integers and continue by reading the next size for the next 2 matrices (if not end of file).
標簽： multiplication implEMent matrices matrix
上傳時間： 2014-08-30
上傳用戶：dsgkjgkjg
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