This a script for working with short TCP files with several source nodes, sharing a single bottleneck link. It is used to show how with proper choice of CIR, marking decreases losses of vulnerable packets (syns etc).
用CY7C63723設計的鼠標固件程序
chip.c - include file that defines CY7C63723 constants
- combi.c - main source file
- combi.hex - Intel hex file for programming a CY7C63723 microcontroller
- combi.lst - output listing from c-compiler for use with the CYDB debugger
- macros.h - defines macros used in combi.c
- ps2defs.h - defines PS/2 interface constants
- usb_desc.h - defines the USB descriptors
- usbdefs.h - defines USB interface constants
Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks while the third can be generalized to multi-layer perceptrons.
