Stefania Degeratu

Reverberant Neural Network in Optical Technology

In this paper the authors present a reverberant neural network achieved into optical technology that stores binary information. The reverberant neural networks have a very important role into memorizing processes especially into short time memory. Although they achieve a short time memorizing the reverberant neural networks are used for writing of information into long time memory. The reverberant presented can be a variant by volatile memory for neural computers. The reverberant network can be used for neural computers and as buffer memory for writing process into permanent memories because of its high speeds by processing The model presented by authors has many advantages such as: the high processing speed, possibility by implementation not only into integrated optic but also into classical optic, immunity to electromagnetic fields, cheap etc

The reduction of the physical inputs number to optoelectronic logical gates

In this paper the authors present elementary logical gates achieved into optoelectronic technology. The main characteristic of these logical gates is that the physical number of inputs ofthese gates is half versus the number of input signals. The light intensity of input signals is amplified, the information being given by direction of light polarization. The polarization is important into optical computing because with its help the operations with negligible energetically losses can be achieved. The presented logical gates would be use into optoelectronic and optic circuits by processing of information. They can be use into optoelectronic and optic circuits for that the addressing is made parallel, too.

General artificial neuron

In this paper the authors present a model of artificial neuron named the general artificial neuron. Depending on application this neuron can change self number of inputs, the type of inputs (from excitatory in inhibitory or vice versa), the synaptic weights, the threshold, the type of intensifying functions. It is achieved into optoelectronic technology. Also, into optoelectronic technology a model of general McCulloch-Pitts neuron is showed. The advantages of these neurons are very high because we have to solve different applications with the same neural network, achieved from these neurons, named general neural network.

The spatial coding of intensity into neural network

In this paper the authors describe the coding mode of stimuli intensity into neural network and present two neural networks into opto-electronic technology that codify spatial the input signal intensity. The study utility of mode by coding of intensity into neural network derives from numerous by applications that can have the utilization of coding mode of information. Thus the neural networks presented in this paper have many applications. They can be used into artificial systems that process external or internal stimuli by different intensities achieving decoding of these stimuli, they can be used in the color television, they can be used for neural computers into process by coding of information, etc.

Intensity-position neural network

In this paper the authors present an intensity-position neural network. This neural network is achieved from Fabry-Perot cavities with nonlinear medium. This intensity-position neural network has many applications: it can be used into artificial systems that process external or internal stimuli by different intensities achieving decoding of these stimuli, it can be used for neural computers into process by coding of information, it can be used in the color television etc. The advantages of the presented intensity-position neural network are the following: low power of input beam for nonlinearity stimulation (tens by nano-watts), small switching time (by pico-second time), parallel addressing and diminishing of bit dimension until to limit by input beam focusing etc.

Perceptron with one layer based on optical devices

The perceptron is useful to be used in different forms and implemented into different technologies for could study of limits and development directions of neural networks in respectively technologies. In this paper the authors present, from theoretical point of view one model of perceptron with a single layer achieved with optoelectronic and optic devices. The showed perceptron has more advantage such as: its threshold can be modified, the type of inputs can be modified from excitatory to inhibitory and vice versa etc.

Ternary logical circuits

In this paper the authors present, from theoretical point of view some logical circuits achieved with optical devices that work using a ternary logic. Those three levels are clearly distinct and the danger of confusion does not exist.

The light intensity transformation into optical digital signal

Keeping the TV signal in optical domain from the video camera to the TV receiver has a series of advantages over the present methods used in colour TV. In this paper, the authors present a method for the transformation of the light intensity of a colour TV signal into an optical digital information, from theoretical point of view. Thus, the light intensity value of a monochromic optical signal is codified binary. The method has a general character and it might be applied not only with means of integrated optics but also with means of the classical optics.

Decoders with directional waveguide couplers

The decoder, an important element of electronic circuits with microprocessors can be implemented also in the integrated optoelectronic technology. In this paper, the authors present from theoretical point of view, the realization of directional couplers based on decodors.

Technical applications of bionics: the color TV

The color TV is an eloquent example of the applied bionics. The knowledge of the human visual analyzer’s characteristics allows the elaboration of the color TV systems. In this paper the authors describe the principles of the color television based also on the applied bionics, but for this, the optical image isn’t transformed in the electrical signals, it remains as the optical signal from reception to view including the transmission channel.