This paper presents an analog VLSL circuit for implementation of Artificial Neural Networks (ANNs ). The building blocks of the proposed circuit include Differential voltage current controlled source (DVCCS), Super MOSFET and Differential voltage controlled voltage source (DVCVS) which are used to multiply incoming analog signals with variable weights, and current in / current out sigmoid function circuit. The proposed circuit can be easily implemented in a 0.34 μ m CMOS VLSI process. Simulations are presented to confirm the validity of the proposed circuit.