CCE是一个多

这是一个神经网络开发包。目录ann下是专门针对神经网络的代码，外部目录是一些公用的代码，与神经网络无关，但是神经网络的代码用到了它们。 ann目录下有一个目录demo，里面存放了一些示例程序，请参照它们进行编程。-This a neural network development kit. Ann directory under specific neural network code, external directory is some common code, has nothing to do with the neural network, but neural networks use of their code. Ann directory is a directory demo, stored inside a sample program, please refer to their program.

神经网络C语言源程序 绝对经典。 ADALINE,ART1,BAM,BOLTZMAN,BPN CPN,hopfield, som, -neural network C language source absolute classic. ADALINE, ART1, BAM, BOLTZMAN, CPN 7.82, hopfield, som.

遗传算法，生物技术，进化技术，主用用来求函数优化问题-Genetic algorithms, bio-technology, evolution of technology, the main use for the seek function optimization problems

SMC1602A(16*2)模拟口线接线方式 连接线图: --------------------------------------------------- |LCM-----51 | LCM-----51 | LCM------51 | --------------------------------------------------| |DB0-----P0.0 | DB4-----P0.4 | RW-------P2.5 | |DB1-----P0.1 | DB5-----P0.5 | RS-------P2.6 | |DB2-----P0.2 | DB6-----P0.6 | E--------P2.7 | |DB3-----P0.3 | DB7-----P0.7 | VLCD接1K电阻到GND| --------------------------------------------------- Keyboard接线 PS/2--------51 1 DATA------P3.4 3 GND 4 VCC 5 CLK-------P3.3 接在51的外部中断，触发方式为低电平 本程序源码只供学习参考，不得应用于商业用途，如有需要请联系作者。-SMC1602A (16* 2) analog line port to connect wiring diagram:- | LCM-51 | LCM-51 | LCM 51 | | | DB0-P0.0 | DB4-P0.4 | RW-P2.5 | | DB1-P0.1 | DB5-P0.5 | RS-P2.6 | | DB2-P0.2 | DB6-P0.6 | E P2.7 | | DB3-P0.3 | DB7-P0.7 | VLCD access 1K resistor to GND |-Keyboard Connection PS/2 51 1 DATA P3.4 3 GND 4 VCC 5 CLK-P3.3 access in 51 of the external interrupt trigger mode for low-level source for learning the procedu

遗传算法的简单程序，可用于离散变量优化，多目标优化等许多领域-the simple procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas

贝叶斯方法在房地产风险决策中的应用研究.pdf-TheApplicationofBayesMethodtoRealRiskDecisionMaking

java神经网络工具箱-neural network toolbox

神经网络与matlab实现,内含大量的实例,希望能对你有所帮助.-neural network and Matlab realized, with a lot of examples and I hope that you can help.

convert a matrix to a libsvm format [class1 char1 char2 ... charN class2 char1 char2 ... charN]