I applied neural network toolbox to create a multilayer feedforward network. The data is a huge csv file which maps to three outputs. data = load('Train.csv'); Input= data(1:31012,1:40); Output=data(1:31012,41); %net = newff(minmax(Input),[1000,1000,1000]); net = feedforwardnet(10,'trainlm'); view(net) y = net(Input); perf = perform(net,y,Output) but this code always gives this - "Empty state-space model." What am I doing wrong?

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I've decided to try my hand at programming neural networks since I'm in an adaptive critic course. The thing that I want to attempt is a solver for the game located here http://moh97.us/flow/. You basically have to connect like-colored circles together without crossing over any paths and while filling up all the empty squares with a path segment. I've been reading up on Hopfield Networks and I think this is the right network to use since I am essentially going to turn on or off a node (square) depending on these conditions to check: 1) Is square already filled? 2) …

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Hello everyone! I'm making a game where players build walls and move their pieces to try to be the first player to reach their target square. Essentially, it's a checkerboard, and players can build walls on the segments between adjacent squares to impede their opponents' movement. The one catch is that you are never allowed to place a wall in such a place as to permanently prevent a player from reaching his target square (ie. there must always be a legal path from each player's current location to his target square). Now, I've played around with ANNs before, for class …

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Well guys, I'm having a hard time learning enough about ANNs to apply them to a problem. Firstly my general understanding is that the network adapts during the "training" phase to produce the correct output with the given set of inputs. This is obviously useful with image recognition, or handwriting recognition. But it has these properties by working in a specific way, and I'm mostly having difficulty implementing an ANN for a (very) simple application. So... If someone has some experience with them, a little insight into what they really do, and how they do it would be most helpful!

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The End.