WebMay 8, 2016 · FANN 是个开源的 C 语言实现的人工神经网络库,由于是标准 C 语言写成的,所以对操作系统等的要求很少,在各个平台下都可以运行。 而且这个库支持定点运算,在没有浮点处理器的 CPU 上运行会比别的不支持定点运算的库快很多。 FANN 虽然是纯 C 语言写成的,但是按照面向对象的思想构架的,接口设计的很好。 有较为详细的文档,用起 … WebFANN Features: Multilayer Artificial Neural Network Library in C Backpropagation training (RPROP, Quickprop, Batch, Incremental) Evolving topology training which dynamically builds and trains the ANN (Cascade2) Easy to use (create, train and run an ANN with just three function calls) Fast (up to 150 times faster execution than other libraries)
编译、安装和使用FANN库(环境部署) - CSDN博客
http://libfann.github.io/fann/docs/files/fann-h.html WebFile Input and Output fann_create_from_file Constructs a backpropagation neural network from a configuration file, which has been saved by fann_save. See also fann_save, fann_save_to_fixed This function appears in FANN >= 1.0.0. fann_save Save the entire network to a configuration file. persecuted homophone
fann - Official github repository for Fast Artificial Neural …
Webfann快速人工神经网络库FANN的官方github存储库源码. 快速人工神经网络库 法恩 快速人工神经网络(FANN)库是一个免费的开源神经网络库,它以C语言实现了多层人工神经网络,同时支持完全连接和稀疏连接的网络。 支持定点和浮点的跨平台执行。 WebFANN Creation/ Execution The FANN library is designed to be very easy to use. A feedforward ann can be created by a simple fann_create_standard function, while other … WebFANN C++ Training Data Summary training_data class training_data training_data is used to create and manipulate training data used by the neural_net Encapsulation of a training data set struct fann_train_data and associated C API functions. Summary Functions training_data training_data( ) : train_data(NULL) stakmore cane back folding chairs