implEMent of SRM Position Check ing Ar ithmetic Ba sed on FPGA
标签： implEMent Position ithmetic Check
上传时间： 2013-08-22
上传用户：z1191176801
network management, thread implEMent
标签： management implEMent network thread
上传时间： 2015-02-07
上传用户：yuanyuan123
CORBA orb implEMent
上传时间： 2015-02-07
上传用户：离殇
orb implEMent
上传时间： 2014-11-26
上传用户：ccclll
lpc implEMent for distribut
标签： implEMent distribut lpc for
上传时间： 2014-11-30
上传用户：wangdean1101
idct mmx technology implEMent
标签： technology implEMent idct mmx
上传时间： 2014-12-02
上传用户：thinode
Works a client and a server using UDP in asynchronous operation mode to implEMent the simple daytime protocol, as described in RFC 867
标签： asynchronous implEMent operation daytime
上传时间： 2015-02-15
上传用户：秦莞尔w
自适应(Adaptive)神经网络源程序 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
标签： collection implEMent Adaptive adaptive
上传时间： 2015-04-09
上传用户：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
标签： Neural collection implEMent Adaptive
上传时间： 2013-12-23
上传用户：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).
标签： multiplication implEMent matrices matrix
上传时间： 2014-08-30
上传用户：dsgkjgkjg
