We present an online adaptation rule for reservoirs that is inspired by Intrinsic Plasiticity (IP). The IP rule maximizes the information content of the reservoir state by adapting it so that the distribution approximates a given target. Here we fix the variance of the target distribution, which results in a Gaussian distribution. We apply the rule to two tasks with quite different temporal and...

We present an online adaptation rule for reservoirs that is inspired by Intrinsic Plasiticity (IP). The IP rule maximizes the information content of the reservoir state by adapting it so that the distribution approximates a given target. Here we fix the variance of the target distribution, which results in a Gaussian distribution. We apply the rule to two tasks with quite different temporal and...

With construction of new large-scale water storage projects on the wane in the U.S. and other developed countries, attention must focus on improving the operational effectiveness and efficiency of existing reservoir systems for maximizing the beneficial uses of these projects. Optimal coordination of the many facets of reservoir systems requires the assistance of computer modeling tools to prov...

The goal of the reservoir is to favor rich internal dynamics and interactions with the input signals, as to achieve the required fading memory and kernel properties [1]. There is however no general agreement yet on how the connectivity matrix of the reservoir should be initialized to yield both stability and performance. It is known that edge-of-chaos regime in recurrent neural network leads to...

An isothermal endoreversible chemical engine operating between a finite high-chemicalpotential reservoir and an infinite low-chemicalpotential reservoir in which the mass transfer between the working fluid and the mass reservoirs obeys the linear mass-transfer law [g ∝ ∆μ], is put forward in this paper. Optimal control theory is applied to determine the optimal cycle configuration corresponding...

In this paper, a many-objective optimization algorithm was developed using SPEA2 for system of four reservoirs in the Karun basin, including hydropower, municipal and industrial, agricultural, environmental objectives. For purpose, 53 years available data, hedging rules were two modes: with without applying fuzzy logic. used to optimize coefficients first 43 data last 10 test optimized rule cur...

Reservoir computing is a new, powerful and flexible machine learning technique that is easily implemented in hardware. Recently, by using a timemultiplexed architecture, hardware reservoir computers have reached performance comparable to digital implementations. Operating speeds allowing for real time information operation have been reached using optoelectronic systems. At present the main perf...

In this paper, a model for fuzzy risk of low yield of a crop is developed to study the implications of a reservoir operating policy model. When an optimal operating policy is derived based on a known objective, the policy itself does not, in general, indicate a measure of the system performance unless a criterion to this effect is embedded in the objective function. While a systems analyst is i...