Machine learning in trading: theory, models, practice and algo-trading - page 1700
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There is no problem creating such a network , and it will also recognize patterns no worse than a human, even better...
The funny thing is that the network will not make money on these patterns just as well as a person who recognizes them at once )) !!
The problem is in the patterns, not in the network and in the teacher who wants the network doesn't know what it is, but he thinks he does.A working model of human intelligence possessing, as it does, universality in terms of problem solving. "Absolute Solver".
It's kind of a fuzzy concept.
Artificial intelligence is a working model of human intelligence?
Which, like it, has the universality of problem solving?
How will AI (in your definition) solve this universal task if it's in a computer?
Your definition is lame.
It's not about making money. It has nothing to do with it at all. The question is to use the tool to find fuzzy shapes and signal them. And then how the TS uses it is secondary.
If so, that's not good enough.
So far my comparison experiment is not finished - I found a mistake in data preparation and had to put 8 samples again for training.
I think that by the end of the week there will be the result, which I will publish here.
And, I'll do my "enumerator" of conditional leaves on these predictors (by the method that I described earlier) - with the control of the results (different metric) at each step.
The entire market cannot be described by a single model, so I'm going to search for stable patterns by combining them in TS and I'm not worried if some part of the "space" remains undefined.
What's wrong with it? Catbust beats most of its competitors.
I, for example, did not like the idea of a symmetric tree in it. Obviously, 2 different nodes sharing the same predictor and the same level is not the best option. Unless the acceleration is up to 10 times.
Good thing they added 2 new more classic methods.
It's kind of a fuzzy concept.
Artificial intelligence is a working model of human intelligence?
Which, like it, has the versatility to solve problems?
How will AI (in your definition) solve the problem, if it's in a computer?
Your definition is lame.
The question is also fuzzy. It's like asking "what is the World?")
That's exactly the question.
Okay I will not torture you, the point is that you confuse artificial intelligence with artificial intelligence.
Intellect is just a tool to solve a problem, it's part of the mind, but it's not the only part.
Artificial Intelligence has been around for a long time, but it's not what you think as you have the wrong concept of intelligence and hence the wrong concept of AI
The question is exactly that.
The answer is in the question itself. Artificial Intelligence. First, let's define what Intelligence is. Then, let's understand what it means to be artificial. The list of properties of Intellect is endless. But to summarize, we can say that it is a universal solver, modeler, predictor, and so on... a logical "machine."
Already identified.
read me, there are pages 4-5https://www.mql5.com/ru/forum/86386/page1681
Already identified.
read me, there are pages 4-5https://www.mql5.com/ru/forum/86386/page1681