//1. 产生一些测试数据, 如果提前有x,y数据,可以不使用下面代码
x1 = Rand(1.2, 100, 1);
x2 = Rand(1.2, 100, 1);
y1 = Abs(Sin(Sin(x1) * Cos(x2) * x1 * 1.6 + (x2 - x1)^2 * 1.5));
y2 = (Cos(Sin(x1) * Cos(x2) * x2 * 2.6 + (x2 - x1)^2 * 0.5));
x  = [x1, x2];
y  = [y1, y2];

//2. 下面是神经网络代码
inputlayer  = NetCreateLayer("", 2); 
outputlayer = NetCreateConnectLayer(inputlayer, "GElU", 6, "SQNL", 4, "Mish", 2); 
net = NetCreateWork();
NetWorkInit(net, inputlayer, outputlayer);
solver = NetCreateSolver("RAdma", 0.1);
opt = NetCreateOptimier();
NetOptSetBatchNum(opt, 32);
NetOptSetIterCount(opt, 1024000);
NetOptSetEvalBySquaredError(opt, 1e-12);
NetOptSetEvalCount(opt, 16);
NetOptSetPreprocess(opt, 255);
NetOptSetSolver(opt, solver);
NetOptSetWork(opt, net);
NetOptSetTrainData(opt, x, y);
NetOptSetEvalData(opt, x, y);
NetOptSolve(opt, 1000);