Better NN EA development - page 34 1...272829303132333435363738394041...87 New comment solaiman 2008.09.01 22:49 #331 Good Resources for NN library and Computing power hi to all , these are good resources for NN library in C and C++: 1-FANN library by Steffen Nissen (Fast Artificial Neural Network Library) Fast Artificial Neural Network Library 2-LWNN library by Peter van Rossum (Light Weight Neural Network Library) SourceForge.net: Lightweight Neural Network 3-A good hardware acceleration for large computational application: by using GPU multi processing threads (NVIDIA CUDA , AMD ATI...) Nvidia is provided a good C library for using GPU power in your application a comparision: (Intel Core 2 Quad Extreme QX9770 : less than 100 GFLOPS (single 32bit float) or (double 64bit float) ) (NVIDIA GTX260 , GTX280: 933 GFLOPS(single 32bit float) and 100 GFLOPS (double 64bit float)) CUDA Zone -- The resource for CUDA developers Neural Networks New article: Neural Networks Machine Learning and Neural barnix 2008.11.03 12:31 #332 I have a new version of SVM_EA for windows. Try it.You can change the parameters in MT4. Copy Project2.dll --> libraries and the EA-->experts TP=SL=60 Files: svm_ea_v17.mq4 14 kb proiect2_dll.rar 40 kb strategytester_svm_ea_v17.gif 8 kb strategytester_svm_ea_v17.htm 172 kb svm_17.gif 23 kb barnix 2008.11.03 15:02 #333 SVM_EA_v17a TP=SL=50 Files: svm_17a.gif 40 kb svm_ea_v17a.mq4 14 kb strategytester_svm_ea_v17a.gif 8 kb strategytester_svm_ea_v17a.htm 248 kb svm_train_v01.mq4 5 kb barnix 2008.11.03 15:40 #334 SVM_EA_v17b TP=SL=70 Files: svm_ea_v17b.mq4 14 kb strategytester_svm_ea_v17b.gif 8 kb strategytester_svm_ea_v17b.htm 123 kb svm_17b.gif 15 kb barnix 2008.11.03 16:20 #335 SVM_EA_v17c TP=SL=80 Files: strategytester_svm_ea_v17c.gif 8 kb strategytester_svm_ea_v18.htm 162 kb svm_ea_v17c.mq4 14 kb svm_17c.gif 15 kb barnix 2008.11.03 17:46 #336 TrainTimeFrame=PERIOD_H1; TrainTimeFrame=PERIOD_M5; Files: svm_17__.gif 17 kb svm_train_v02.mq4 5 kb svm_17.gif 20 kb barnix 2008.11.03 18:10 #337 SVM_EA_v20 TrainTimeFrame=PERIOD_M5; TP=SL=60 Files: svm_ea_v20.mq4 14 kb strategytester_svm_ea_v20.gif 8 kb strategytester_svm_ea_v20.htm 181 kb barnix 2008.11.03 18:24 #338 SVM_EA_v20a TrainTimeFrame=PERIOD_M5; TP=SL=50 Files: strategytester_svm_ea_v20a.gif 7 kb strategytester_svm_ea_v20a.htm 237 kb svm_ea_v20a.mq4 14 kb barnix 2008.11.03 18:43 #339 SVM_EA_v20b TrainTimeFrame=PERIOD_M5; TP=SL=70 Files: svm_ea_v20b.mq4 14 kb strategytester_svm_ea_v20b.gif 7 kb strategytester_svm_ea_v20b.htm 126 kb barnix 2008.11.03 21:10 #340 SVM_EA_v20c TrainTimeFrame=PERIOD_M5; TP=SL=80 Files: strategytester_svm_ea_v20c.gif 7 kb strategytester_svm_ea_v20c.htm 105 kb svm_ea_v20c.mq4 14 kb 1...272829303132333435363738394041...87 New comment
Good Resources for NN library and Computing power
hi to all ,
these are good resources for NN library in C and C++:
1-FANN library by Steffen Nissen (Fast Artificial Neural Network Library)
Fast Artificial Neural Network Library
2-LWNN library by Peter van Rossum (Light Weight Neural Network Library)
SourceForge.net: Lightweight Neural Network
3-A good hardware acceleration for large computational application:
by using GPU multi processing threads (NVIDIA CUDA , AMD ATI...)
Nvidia is provided a good C library for using GPU power in your application
a comparision:
(Intel Core 2 Quad Extreme QX9770 : less than 100 GFLOPS (single 32bit float) or (double 64bit float) )
(NVIDIA GTX260 , GTX280: 933 GFLOPS(single 32bit float) and 100 GFLOPS (double 64bit float))
CUDA Zone -- The resource for CUDA developers
I have a new version of SVM_EA for windows.
Try it.You can change the parameters in MT4.
Copy Project2.dll --> libraries and the EA-->experts
TP=SL=60
SVM_EA_v17a
TP=SL=50
SVM_EA_v17b
TP=SL=70
SVM_EA_v17c
TP=SL=80
TrainTimeFrame=PERIOD_H1;
TrainTimeFrame=PERIOD_M5;
SVM_EA_v20
TrainTimeFrame=PERIOD_M5;
TP=SL=60
SVM_EA_v20a
TrainTimeFrame=PERIOD_M5;
TP=SL=50
SVM_EA_v20b
TrainTimeFrame=PERIOD_M5;
TP=SL=70
SVM_EA_v20c
TrainTimeFrame=PERIOD_M5;
TP=SL=80