· The dynamics of our chaotic neural network is different from those of Hu's coupled map lattice system (Hu & Qu, ). First, any neuron is coupled to all other neurons in the network while each site is only coupled to its nearest ones in the coupled map lattice system, and then the input of each neuron in our network is related to not only its own history but also the history of other neurons while Cited by:
· Our chaotic neural network is an algorithm that fuses pos-TAN and LSTM algorithms. Chaotic neural networks are considered to be intelligent that can achieve their real-world computation because neural networks are highly nonlinear dynamical systems and chaos has the abovementioned properties, and therefore, neural networks are closely related to chaos, one of the information Author: Qianyu Cao, Hanmei Hao.
· This requires an input to the network, through the feedback loop in our case, of sufficient amplitude. If we try to train a network to generate a target function with too small an amplitude, the activity of the network neurons remains chaotic even after FORCE learning is activated (figure 2K). In this case, learning does not converge to a.
: New Power: How Anyone Can Persuade, Mobilize, and Succeed in Our Chaotic, Connected Age: Heimans, Jeremy, Timms, Henry: Books.
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