Ok this may seem weird. But it does relate to drugs. I am training a network to tell people what drugs to do. It learns when ever you decide to do a drug, you just tell it all the information and tell it what you thought about it. It also learns when you ask what drug to do and give all the information and if it is right you reward it and if its wrong you punish it. Would anyone actually be interested in playing with such a application. anyways I also wanted to know what do people use to judge what drugs to do, like time of day, mood, energy, sleep, and im not sure what other things to include.
BTW its a Cyclic Custom Artificial Neural Network using Unique Confidence Bounds and Activation Function per Neuron and Propagation Rule per Network using Fuzzy Logic Implemented using Genetic Algorithm. The Confidence Bounds and Activation Function can be changed per Neuron, and the Propagation Rule and Training Algorithm can also be changed in at any time for the entire network. It is cyclic so the output feeds back into the input, giving this amazing network a concept of time, so it takes into account all previous drugs injested as long as you tell it what you did it trains it self.
anyway if anyone cares go ahead and respond. i dont expect really anyone to care except me. later and have fun all
BTW its a Cyclic Custom Artificial Neural Network using Unique Confidence Bounds and Activation Function per Neuron and Propagation Rule per Network using Fuzzy Logic Implemented using Genetic Algorithm. The Confidence Bounds and Activation Function can be changed per Neuron, and the Propagation Rule and Training Algorithm can also be changed in at any time for the entire network. It is cyclic so the output feeds back into the input, giving this amazing network a concept of time, so it takes into account all previous drugs injested as long as you tell it what you did it trains it self.
anyway if anyone cares go ahead and respond. i dont expect really anyone to care except me. later and have fun all
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